Cool-GenAI-Fashion-Papers
🧢🕶️🥼👖👟🧳 A curated list of cool resources about GenAI-Fashion, including 📝papers, 👀workshops, 🚀companies & products, ...
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Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.
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🧢🕶️🥼👖👟🧳 A curated list of cool resources about GenAI-Fashion, including 📝papers, 👀workshops, 🚀companies & products, ...
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The structure of the category follows fAshIon after fashion: A Report of AI in Fashion
graph LR
GenAIFashion[GenAI-Fashion]
GenAIFashion --> Overview[Overview]
GenAIFashion --> Evaluation[Evaluation]
GenAIFashion --> BasicTech[Basic Tech]
GenAIFashion --> Selling[Selling]
GenAIFashion --> Styling[Styling]
GenAIFashion --> Design[Design]
GenAIFashion --> Buying[Buying]
BasicTech --> VisionLanguage[Vision Language]
BasicTech --> Parsing[Parsing]
BasicTech --> SegmentationRecognition[Segmentation, Recognition]
BasicTech --> Detection[Detection]
BasicTech --> PoseEstimationTracking[Pose Estimation, Tracking]
Selling --> Retrieval[Retrieval]
Selling --> SellingAgent[Selling Agent]
Selling --> VideoGeneration[Video Generation]
Styling --> CompatibilityLearning[Compatibility Learning]
Styling --> OutfitRecommendation[Outfit Recommendation]
Design --> FashionDesignSynthesis[Fashion Design Synthesis]
Design --> TryOn[Try-On]
Design --> Editing[Editing]
Design --> DesignAgent[Design Agent]
Design --> 3DSynthesis[3D Synthesis]
Design --> 4DSynthesis[4D Synthesis]
Buying --> TrendAnalysis[Trend Analysis]
Buying --> KnowledgeExtraction[Knowledge Extraction]
- 👀Workshops
- 🚀Companies, Products
- Researchers
- Industry Reports
- Other FashionAI Resources
- Other GenAI Resources
Summary developments of technology
Title | Publication | Paper | Type | Region |
---|---|---|---|---|
A Comparative Study of Garment Draping Techniques | Preprint 2024 | paper | Overview | India |
A Survey of Artificial Intelligence in Fashion | IEEE Signal Process. Mag. 2023 | paper | Overview | Taiwan (China) |
AI Assisted Fashion Design: A Review | IEEE Access | paper | Fashion Design | China |
Computational Technologies for Fashion Recommendation: A Survey | ACM Comput. Surv. | paper | Fashion Recommendation | Hong Kong (China) |
A Review of Modern Fashion Recommender Systems | ACM Comput. Surv. | paper | Fashion Recommendation | Italy |
A survey on Fashion Image Retrieval | ACM Comput. Surv. | paper | Fashion Retrieval | India |
Appearance and Pose-Guided Human Generation: A Survey | ACM Comput. Surv. | paper | Fashion Generation | Hong Kong (China) |
Analytics Applications in Fashion Supply Chain Management—A Review of Literature and Practice | IEEE Trans Eng Manag | paper | Fashion Supply Chain | Germany |
Deep Learning Approaches for Fashion Knowledge Extraction From Social Media: A Review. | IEEE Access 2022 | paper | Fashion Knowledge Extraction | Italy |
Defining digital fashion: Reshaping the field via a systematic review | Comput. Hum. Behav. 2022 | paper | Digital Fashion | South Korea |
A Review of AI (Artificial Intelligence) Tools and Customer Experience in Online Fashion Retail | Int. J. E Bus. Res. 2022 | paper | Fashion Retail | India |
Fashion Meets Computer Vision: A Survey. | ACM Comput. Surv. 2021 | paper | Overview | Taiwan (China) |
Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry | Preprint 2021 | paper | Overview | Iran |
fAshIon after fashion: A Report of AI in Fashion | Preprint 2021 | paper | Overview | Hong Kong(China) |
Aesthetics, Personalization and Recommendation: A survey on Deep Learning in Fashion | Preprint 2021 | paper | Overview | China |
Fashion Recommendation Systems, Models and Methods: A Review | Informatics 2021 | paper | Fashion Recommendation | USA |
A Detailed Review of Artificial Intelligence Applied in the Fashion and Apparel Industry | IEEE Access 2019 | paper | Overview | France |
An Overview of Image Recognition and Retrieval of Clothing items | RICE 2018 | paper | Fashion Retrieval | India |
When Multimedia Meets Fashion | IEEE MultiMedia 2018 | paper | Overview | China |
Fashion Analysis: Current Techniques and Future Directions | IEEE MultiMedia 2014 | paper | Overview | Singapore |
Evaluation protocols for specific tasks
Title | Publication | Paper | Link | Region |
---|---|---|---|---|
How Good Is Aesthetic Ability of a Fashion Model? | CVPR 2022 | paper | dataset | Hong Kong (China) |
An Evaluation of Artificial Intelligence Components in E-Commerce Fashion Platforms | WorldCIST 2022 | paper | - | Portugal |
Where are my clothes? A multi-level approach for evaluating deep instance segmentation architectures on fashion images | CVPRW 2021 | paper | - | France |
Assessing Fashion Recommendations: A Multifaceted Offline Evaluation Approach | recsysXfashion 2019 | paper | - | USA |
Understanding of fashion images
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
SyncMask | SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining | CVPR 2024 | paper | - | South Korea |
FAME-ViL | FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks | CVPR 2023 | -> | project | UK |
FashionSAP | FashionSAP: Symbols and Attributes Prompt for Fine-grained Fashion Vision-Language Pre-training | CVPR 2023 | -> | project | China |
MVLT | Masked Vision-language Transformer in Fashion | MIR 2023 | paper | - | China |
OpenFashionCLIP | OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data | ICIAP 2023 | -> | project | Italy |
- | A fine-grained vision and language representation framework with graph-based fashion semantic knowledge | CAD/Graphics 2023 | paper | - | China |
FashionCLIP | Contrastive language and vision learning of general fashion concepts | Scientific Reports (2022) | paper | code | Canada |
FashionViL | Fashion-Focused Vision-and-Language Representation Learning | ECCV 2022 | -> | project | UK |
Kaleido-BERT | Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain | CVPR 2021 | paper | - | China |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
OMNet | OMNet: Outfit Memory Net for clothing parsing | IJCST 2023 | paper | - | China |
UAM-Net | Unabridged adjacent modulation for clothing parsing | PR 2022 | paper | code | China |
- | Feature fusion network for clothing parsing | IJMLC 2022 | paper | - | China |
CCFNet | CCFNet: Cross-Complementary fusion network for RGB-D scene parsing of clothing images | JVCI 2022 | paper | - | China |
- | Describe Me If You Can! Characterized Instance-Level Human Parsing | ICIP 2021 | paper | - | France |
- | Progressive One-shot Human Parsing | AAAI 2021 | paper | - | Sydney |
SIZER | SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing | ECCV 2020 | paper | project | Germany |
- | Hierarchical Human Parsing With Typed Part-Relation Reasoning | CVPR 2020 | paper | code | Switzerland |
- | Fine-Grained Garment Parsing: A Body Generation Approach | ICME 2020 | paper | - | China |
SP-FEN | Superpixels Features Extractor Network (SP-FEN) for Clothing Parsing Enhancement | NPL 2020 | paper | - | Malaysia |
Look into Person | Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark | TPAMI 2019 | paper | - | China |
- | Holistic, Instance-Level Human Parsing | BMVC 2017 | paper | - | UK |
- | Looking at Outfit to Parse Clothing | Preprint 2017 | paper | - | Japan |
- | Surveillance Video Parsing With Single Frame Supervision | CVPR 2017 | paper | - | China |
- | Enhanced Reweighted MRFs for Efficient Fashion Image Parsing | TOMM 2016 | paper | - | Canada |
- | Clothes Co-Parsing Via Joint Image Segmentation and Labeling With Application to Clothing Retrieval | TMM 2016 | paper | - | China |
- | Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing | TPAMI 2015 | paper | - | Singapore |
- | Retrieving Similar Styles to Parse Clothing | TPAMI 2014 | paper | - | Japan |
- | Fashion Parsing with Video Context | MM 2014 | paper | - | Singapore |
- | Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Items | ICCV 2013 | paper | - | USA |
- | Fashion Parsing With Weak Color-Category Labels | TMM 2013 | paper | - | Singapore |
- | Parsing clothing in fashion photographs | CVPR 2012 | paper | - | USA |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
- | DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition | CVPRW 2023 | paper | - | Hong Kong (China) |
Fashionformer | Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition | ECCV 2022 | -> | project | China |
Fashionpedia | Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset | ECCV 2020 | paper | - | USA |
- | Segmentation task for fashion and apparel | Preprint 2020 | paper | - | USA |
- | Joint Multi-Person Pose Estimation and Semantic Part Segmentation | CVPR 2017 | paper | - | USA |
DeepFashion | DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations | CVPR 2016 | paper | - | Hong Kong(China) |
- | Who Blocks Who: Simultaneous clothing segmentation for grouping images | ICCV 2011 | paper | - | China |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
- | Improving apparel detection with category grouping and multi-grained branches | Multimedia Tools and Applications 2022 | paper | - | USA |
CoRe | CoRe: Color Regression for Multicolor Fashion Garments | CVPRW 2022 | paper | - | France |
- | Fashion landmark detection and category classification for robotics | ICARSC 2020 | paper | - | Switzerland |
- | Aggregation and Finetuning for Clothes Landmark Detection | Preprint 2020 | paper | code | China |
- | Spatial-aware non-local attention for fashion landmark detection | ICME 2019 | paper | - | China |
- | Layout-Graph Reasoning for Fashion Landmark Detection | CVPR 2019 | paper | - | China |
DeepFashion2 | DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images | CVPR 2019 | paper | - | China |
- | A global-local embedding module for fashion landmark detection | ICCVW 2019 | paper | - | Korea |
- | Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks | MM 2017 | paper | - | Hong Kong (China) |
- | Fashion Landmark Detection in the Wild | ECCV 2016 | paper | - | Hong Kong(China) |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
GarmentTracking | GarmentTracking: Category-Level Garment Pose Tracking | CVPR 2023 | -> | project | China |
GarmentNets | GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion | ICCV 2021 | -> | project | USA |
Online selling
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
M3-Net | Learning Attribute and Class-Specific Representation Duet for Fine-grained Fashion Analysis | CVPR 2023 | paper | - | USA |
- | Dynamic Network for Language-based Fashion Retrieval | MMIR ’23 (MM 2023 workshop) | paper | - | China |
MODC | Fine-grained Fashion Representation Learning by Online Deep Clustering | ECCV 2022 | paper | - | USA |
FashionVLP | FashionVLP: Vision Language Transformer for Fashion Retrieval with Feedback | CVPR 2022 | paper | - | USA |
EI-CLIP | EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval | CVPR 2022 | paper | - | USA |
DAtRNet | DAtRNet: Disentangling Fashion Attribute Embedding for Substitute Item Retrieval | CVPRW 2022 | paper | - | India |
UIGR | UIGR: Unified Interactive Garment Retrieval | CVPRW 2022 | paper | code | UK |
CIRPLANT | Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models | ICCV 2021 | paper | - | Australia |
Fashion IQ | Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback | CVPR 2021 | paper | - | USA |
- | Interpretable Multimodal Retrieval for Fashion Products | MM 2018 | paper | - | Singapore |
DARN | Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network | ICCV 2015 | paper | - | Singapore |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
Fashion-GPT | Fashion-GPT: Integrating LLMs with Fashion Retrieval System | LGM3A '23 (MM 2023 workshop) | paper | - | Singapore |
FashionVQA | FashionVQA: A Domain-Specific Visual Question Answering System | CVPRW 2023) | paper | - | USA |
VSE | Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding | CVPRW 2023) | paper | - | Japan |
- | A Conversational Shopping Assistant for Online Virtual Stores | MM 2022 | paper | - | Portugal |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
GPT4Motion | GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning | Preprint 2023 | -> | project | China |
Animate Anyone | Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation | Preprint 2023 | -> | project | China |
wFlow | Dressing in the Wild by Watching Dance Videos | CVPR 2022 | -> | project | China |
ClothFormer | ClothFormer: Taming Video Virtual Try-on in All Module | CVPR 2022 | -> | project | China |
Personal Styling
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
FCBoost-Net | FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting | MM 2023 | paper | - | China |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
CP-TransMatch | Modeling Multi-Relational Connectivity for Personalized Fashion Matching | MM 2023 | paper | - | Hong Kong (China) |
SHIFT15M | SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts | CVPRW 2023) | paper | code | Japan |
BiHGH | Bi-directional Heterogeneous Graph Hashing towards Efficient Outfit Recommendation | MM 2022 | paper | - | Australia |
OutfitTransformer | OutfitTransformer: Outfit Representations for Fashion Recommendation | CVPRW 2022 | paper | - | USA |
OutfitGAN | OutfitGAN: Learning Compatible Items for Generative Fashion Outfits | CVPRW 2022 | paper | - | USA |
GradREC | “Does it come in black?” CLIP-like models are zero-shot recommenders | ECNLP 5(ACL 2022 workshop) | paper | code | Milan |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
StyleMe | StyleMe: Towards Intelligent Fashion Generation with Designer Style | CHI 2023 | paper | code | China |
generative.fashion | Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration | CHI EA 2023 | paper | project | Switzerland |
AI Archive | Generative AI for Concept Creation in Footwear Design | INVITED-TALK (SIGGRAPH 2023) | paper | - | Germany |
UnitedHuman | UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation | ICCV 2023 | -> | project | China |
FreeDoM | FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model | ICCV 2023 | paper | code | China |
BoxDiff | BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion | ICCV 2023 | paper | code | Singapore |
ControlNet | Adding Conditional Control to Text-to-Image Diffusion Models | ICCV2023 | paper | code | USA |
PromptStyler | PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization | ICCV 2023 | -> | project | South Korea |
Diffusart | Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models | CVPRW 2023 | paper | - | France |
Gatha | Gatha: Relational Loss for enhancing text-based style transfer | CVPRW 2023 | paper | - | USA |
DiffFashion | Image Reference-guided Fashion Design with Structure-aware Transfer by Diffusion Models | CVPRW 2023 | paper | code | China |
VectorFusion | VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models | CVPR 2023 | -> | project, unofficial code | USA |
DiffSketcher | DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models | NIPS 2023 | -> | project | China |
SGDiff | SGDiff: A Style Guided Diffusion Model for Fashion Synthesis | MM 2023 | paper | code | Hong Kong (China) |
FashionDiff | FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design | MM 2023 | paper | - | China |
InspirNET | InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation | MM 2023 | paper | - | China |
- | Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements | MM 2023 | paper | - | China |
- | Normal-guided Garment UV Prediction for Human Re-texturing | CVPR 2023 | paper | - | USA |
TemporalUV | TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates | CVPR 2022 | paper | - | Germany |
ARMANI | ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design | MM 2022 | paper | - | China |
AI Carpet | AI Carpet: Automatic Generation of Aesthetic Carpet Pattern | MM 2022 | paper | - | China |
Wearable ImageNet | Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation | CVPRW 2022 | paper | project | USA |
Rank in Style | Rank in Style: A Ranking-based Approach to Find Interpretable Directions | CVPRW 2022 | paper | - | Turkey |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
FashionTex | FashionTex: Controllable Virtual Try-on with Text and Texture. | SIGGRAPH 2023 | paper | code | China |
FreqHPT | FreqHPT: Frequency-aware attention and flow fusion for Human Pose Transfer | CVPRW 2023) | paper | - | China |
SAL-VTON | Linking Garment with Person via Semantically Associated Landmarks for Virtual Try-On | CVPR 2023 | paper | project | China |
TryOnDiffusion | TryOnDiffusion: A Tale of Two UNets | CVPR 2023 | -> | project | USA |
GP-VTON | GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning | CVPR 2023 | -> | project | China |
LaDI-VTON | LaDI-VTON:Latent Diffusion Textual-Inversion Enhanced Virtual Try-On | MM 2023 | paper | code | Italy |
DCI-VTON | Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow | MM 2023 | paper | code | China |
PG-VTON | PG-VTON: A Novel Image-Based Virtual Try-On Method via Progressive Inference Paradigm | TMM 2023 | paper | code | China |
DOC-VTON | OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup | TMM 2023 | paper | code | China |
StableVITON | StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On | Preprint 2023 | -> | project | South Korea |
- | A High-resolution Image-based Virtual Try-on System in Taobao E-commerce Scenario | MM 2022 | paper | - | China |
GT-MUST | GT-MUST: Gated Try-on by Learning the Mannequin-Specific Transformation | MM 2022 | paper | - | China |
PL-VTON | Progressive Limb-Aware Virtual Try-On | MM 2022 | paper | - | China |
Dress Code | Dress Code: High-Resolution Multi-Category Virtual Try-On | CVPRW 2022 | paper | project | Italy |
DBCT | Dual-Branch Collaborative Transformer for Virtual Try-On | CVPRW 2022 | paper | - | Italy |
DP-VTON | Towards Detailed Characteristic-Preserving Virtual Try-On | CVPRW 2022 | paper | - | South Korea |
Flow-Style-VTON | Style-Based Global Appearance Flow for Virtual Try-On | CVPR 2022 | -> | project | UK |
RT-VTON | Full-Range Virtual Try-On with Recurrent Tri-Level Transform | CVPR 2022 | -> | project | China, Singapore |
DGP | Weakly Supervised High-Fidelity Clothing Model Generation | CVPR 2022 | paper | - | China |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
Patternshop | Patternshop: Editing Point Patterns by Image Manipulation | SIGGRAPH 2023 | -> | project | Germany |
MGD | Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing | ICCV 2023 | paper | code | Italy |
EditAnything | EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation | MM 2023 | paper | project | China |
SketchEdit | SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches | CVPR 2022 | -> | project | USA |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
FashionMatrix | Fashion Matrix: Editing Photos by Just Talking | Preprint 2023 | -> | project | China |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
Garment3DGen | Garment3DGen: 3D Garment Stylization and Texture Generation | arXiv 2024 | -> | project | USA |
En3D | En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data | Preprint 2024 | -> | project | China |
SewFormer | Towards Garment Sewing Pattern Reconstruction from a Single Image | TOG (SIGGRAPH Asia 2023) | -> | project | Singapore |
GTA | Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction | NIPS 2023 | -> | project | China |
SeSDF | SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction | CVPR 2023 | paper | - | Hong Kong (China) |
SoY | Shape of You: Precise 3D shape estimations for diverse body types | CVPRW 2023) | paper | - | USA |
KBody | KBody: Balanced monocular whole-body estimation | CVPRW 2023) | paper | project | USA |
CAR | High-Fidelity Clothed Avatar Reconstruction from a Single Image | CVPR 2023 | -> | project | China |
DIFu | DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction | CVPR 2023 | -> | project | South Korea |
NeuralUDF | NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies | CVPR 2023 | -> | project | Hong Kong (China) |
REC-MV | REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos | CVPR 2023 | -> | project | China |
Get3DHuman | Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors | ICCV2023 | -> | project | China |
HairStep | HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling | CVPR 2023 | -> | project | China |
ECON | ECON: Explicit Clothed humans Optimized via Normal integration | CVPR 2023 | -> | project | Germany |
DrapeNet | DrapeNet: Garment Generation and Self-Supervised Draping | CVPR 2023 | -> | project | Switzerland |
AnchorDEF | Learning Anchor Transformations for 3D Garment Animation | CVPR 2023 | -> | project | China |
CloSET | CloSET: Modeling Clothed Humans on Continuous Surface with Explicit Template Decomposition | CVPR 2023 | -> | project | China |
- | Clothed Human Performance Capture with a Double-layer Neural Radiance Fields | CVPR 2023 | paper | - | China |
HOOD | HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics | CVPR 2023 | -> | project | Switzerland |
xCloth | xCloth: Extracting Template-free Textured 3D Clothes from a Monocular Image | MM 2023 | paper | - | India |
AvatarFusion | AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion | MM 2023 | paper | project | China |
Control3D | Control3D: Towards Controllable Text-to-3D Generation | MM 2023 | paper | - | China |
SynBody | SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling | ICCV 2023 | -> | project | China |
EVA3D | EVA3D: Compositional 3D Human Generation from 2D Image Collections | ICLR 2023 | -> | project | Singapore |
ReFU | A Repulsive Force Unit for Garment Collision Handling in Neural Networks | ECCV 2022 | -> | project | USA |
SNUG | SNUG: Self-Supervised Neural Dynamic Garments | CVPR 2022 | -> | project | Spain |
ICON | ICON: Implicit Clothed humans Obtained from Normals | CVPR 2022 | -> | project | Germany |
True Seams | True Seams:Modeling Seams in Digital Garments | SIGGRAPH 2022 | -> | project | USA |
VirtualBones | Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks | SIGGRAPH 2022 | -> | project | China |
CrossHuman | CrossHuman: Learning Cross-guidance from Multi-frame Images for Human Reconstruction | MM 2022 | paper | - | China |
ReEF | Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images | CVPR 2022 | -> | project | China |
PHORHUM | Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing | CVPR 2022 | -> | project | USA |
NeuralTailor | NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments | SIGGRAPH 2022 | paper | - | South Korea |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
WordRobe | WordRobe: Text-Guided Generation of Textured 3D Garments | arXiv 2024 | paper | project | India |
CLOTH4D | CLOTH4D: A Dataset for Clothed Human Reconstruction | CVPR 2023 | -> | project | Hong Kong (China) |
Garment4D | Garment4D: Garment Reconstruction from Point Cloud Sequences | NIPS 2021 | -> | project | Singapore |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
POP | POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion | ECCV 2022 | -> | project | Italy |
Visuelle 2.0 | The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark | CVPRW 2022 | paper | project | Italy |
Model | Title | Publication | Paper | Link | Region |
---|---|---|---|---|---|
- | Multimodal Fashion Knowledge Extraction as Captioning | SIGIR-AP 2023 | paper | - | Hong Kong(China) |
- | Who, Where, and What to Wear?: Extracting Fashion Knowledge from Social Media | MM 2019 | paper | - | Singapore |
- | Describing Clothing by Semantic Attributes | ECCV 2012 | paper | - | USA |
- Computer Vision for Fashion, Art, and Design (CVPR Workshop): CVFAD 2023, CVFAD 2022
- Multimedia Computing towards Fashion Recommendation (ACM MM Workshop): MCFR 2022
- Machine Learning for Creativity and Design (NeurIPS Workshop): ML4CD 2023, ML4CD 2022
- Creative AI Across Modalities (AAAI Workshop): creativeAI 2023
- recsysXfashion (RecSys Workshop): recsysXfashion 2022, recsysXfashion 2021
Name | Found | Info | News |
---|---|---|---|
CALA | 2016 | fashion supply chain interface that unifies design, development, production, and logistics | 2022.11 |
Zalando Research | 2016 | Research | 2023.04 fashion assistant powered by ChatGPT |
Vue.ai | 2016 | Retail AI analysis, AI avatar | - |
极睿 infimind | 2017 | Fashion Product Content | 2023.11 interview in mandarin |
知衣 zhiyi | 2018 | Fashion Design Collaboration | 2023.08 Fashion Diffusion |
LALALAND | 2019 | AI avatar, Fashion Product Content | 2023.08 collaborate with Browzwear-VStitcher |
PatternedAi | 2021 | Pattern Design | - |
Dsign.Ai | - | Prints and Patterns Design | - |
AIMDE-Symmpix | 2023 | Fashion Pattern, 3D | 2023.11 new feature |
Weshop | 2023 | AI avatar & Fashion Product Content | a subsidiary of MOGU |
Wondershare VirtuLook | 2023 | AI avatar & Fashion Product Content | a subsidiary of wondershare |
Pixelcut | 2022 | AI-powered editing tools(Product Content) | - |
CreatorKit | 2020 | AI Product Content, Videos | - |
DeepImage | 2022 | AI Product Content | - |
Unbound | - | personal AI business assistant | - |
Zeg AI | 2018 | AI Product Content, Videos, 3D Render | - |
- | - | - | - |
Group/Lab/Univ | Researchers |
---|---|
GAP Lab-CUHKSZ | Xiaoguang Han |
HCP-I2 Lab-SYSU | Xiaodan Liang,Zhenyu Xie |
HIT SZ | Haijun Zhang |
AiDlab-PolyU+RCA | Calvin WONG,Xingxing Zou,P.Y.Mok |
MMLab-NTU | Ziwei Liu |
UIUC | Ranjitha Kumar |
AImageLab | Rita Cucchiara |
The University of Utah | Ziad Al-Halah |
Georgia Tech | Devi Parikh |
UT Austin | Kristen Grauman |
Cornell | Kavita Bala |
MPI-IS | Michael Black |
Reports | Organization | Time |
---|---|---|
Generative AI’s Act Two | SEQUOIA | 2023.09 |
How Are Consumers Using Generative AI? | A16Z | 2023.09 |
Outlook for the Global and Chinese Fashion Industry in 2035 | Roland Berger | 2023.08 |
The Complete Playbook for Generative AI in Fashion | Bof | 2023.06 |
Generative AI: Unlocking the future of fashion | McKinsey | 2023.03 |
- Fashion Datasets
- Cool Fashion Papers(Before 2022)
- awesome-fashion-ai
- AI4Design Survey
- image-to-image-papers
- Awesome Virtual Try-on (VTON) Research
- Awesome-pose-transfer
- Human Body Reconstruction
- The Roadmap of Generative AI
- awesome-Ai-tools
- LLM Survey
- LLM-Agent-Paper-List
- Awesome-diffusion-model-for-image-processing
- Multimodal Image Synthesis and Editing: The Generative AI Era
- GAN-Inversion Survey
- A Survey on Deep Generative 3D-aware Image Synthesis
- Awesome 3D Generation
- Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
- Awesome GenAI Tech
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