Best AI tools for< Scene Understanding >

The Visual Computing & Artificial Intelligence Lab at TUM is a group of research enthusiasts advancing cutting-edge research at the intersection of computer vision, computer graphics, and artificial intelligence. Our research mission is to obtain highly-realistic digital replica of the real world, which include representations of detailed 3D geometries, surface textures, and material definitions of both static and dynamic scene environments. In our research, we heavily build on advances in modern machine learning, and develop novel methods that enable us to learn strong priors to fuel 3D reconstruction techniques. Ultimately, we aim to obtain holographic representations that are visually indistinguishable from the real world, ideally captured from a simple webcam or mobile phone. We believe this is a critical component in facilitating immersive augmented and virtual reality applications, and will have a substantial positive impact in modern digital societies.

Grok-1.5 Vision (Grok-1.5V) is a groundbreaking multimodal AI model developed by Elon Musk's research lab, x.AI. This advanced model has the potential to revolutionize the field of artificial intelligence and shape the future of various industries. Grok-1.5V combines the capabilities of computer vision, natural language processing, and other AI techniques to provide a comprehensive understanding of the world around us. With its ability to analyze and interpret visual data, Grok-1.5V can assist in tasks such as object recognition, image classification, and scene understanding. Additionally, its natural language processing capabilities enable it to comprehend and generate human language, making it a powerful tool for communication and information retrieval. Grok-1.5V's multimodal nature sets it apart from traditional AI models, allowing it to handle complex tasks that require a combination of visual and linguistic understanding. This makes it a valuable asset for applications in fields such as healthcare, manufacturing, and customer service.

Sora AI is a text-to-video generator AI software developed by OpenAI. It converts text prompts into realistic videos suitable for movie making, teaching, and animation. The tool uses advanced NLP technology and machine learning algorithms to create high-quality videos based on user input. Sora AI offers features like text-to-video conversion, flexibility in sampling, customization options, prompt by image & video, and integration with other AI tools. Despite its advantages in creativity, time efficiency, accessibility, budget-friendliness, and scalability, Sora AI has limitations such as dependency on input prompt, accuracy issues, complex scene understanding, internet connectivity requirements, privacy concerns, and limited voiceover options.

SceneContext AI is an AI application that provides transparency and control for CTV (Connected TV) ads. It classifies millions of videos to help publishers and marketers enhance their CTV strategies by leveraging the latest Language Models for human-like understanding of video content. The application prioritizes privacy by focusing solely on content metadata and scene-level data, without the use of cookies or user data. SceneContext AI offers real-time insights, content recognition, ad placement verification, compliance automation, and personalized targeting to boost CTV deals.

Twelve Labs is a cutting-edge AI tool that specializes in multimodal video understanding, allowing users to bring human-like video comprehension to any application. The tool enables users to search, generate, and embed video content with state-of-the-art accuracy and scalability. With the ability to handle vast video libraries and provide rich video embeddings, Twelve Labs is a game-changer in the field of video analysis and content creation.

Scene is an all-in-one web workspace that offers a comprehensive platform for web designers and marketers to manage the entire design process from ideation to execution. With its Muse AI assistant, Scene provides tools for refining website briefs, researching competitors, auto-generating wireframes, and writing web copy. The platform enables visual co-creation, allowing teams to collaborate seamlessly and design together in one place. Scene also offers adaptable blocks for designing responsive websites, one-click publishing, and an ever-growing library of best-practice blocks. It is shaped by community insights and has received great reviews for its intuitive interface and groundbreaking Muse AI capabilities.

Scene One is an online book writing software with an AI Writing Assistant that helps writers create and organize their stories efficiently. It allows users to write on any device, organize manuscripts, track characters and locations, set reminders, and revise with ease. The AI Writing Assistant provides creative suggestions and helps in expanding text. With features like cloud saving, beat sheet manager, and revision board, Scene One offers a comprehensive writing experience for new and experienced writers.

The Movie Scene Generator is an AI-powered tool that allows users to create fictional movie scenes by selecting genres, styles, and periods. Users can generate quotes and scenes for educational or entertainment purposes. The tool covers AI execution costs through advertisements, ensuring free usage for users. It generates fictional content and emphasizes user responsibility to avoid entering inappropriate content. The tool does not store personal information and is restricted for personal use only.

SceneDreamer is an AI tool that specializes in generating unbounded 3D scenes from 2D image collections. It utilizes an unconditional generative model to synthesize large-scale 3D landscapes with diverse styles, 3D consistency, well-defined depth, and free camera trajectory. The tool is trained solely on in-the-wild 2D image collections without any 3D annotations, showcasing its ability to create vivid and diverse unbounded 3D worlds.

Luma Dream Machine is a cutting-edge AI application that empowers users to ideate, visualize, and create stunning images and videos with ease. By leveraging powerful image and video AI models, users can bring their creative visions to life in a fluid and intuitive manner. The platform offers a range of features to facilitate fast iteration, creative exploration, and seamless editing, making it a go-to tool for artists, designers, and content creators seeking to push the boundaries of visual storytelling.

Story-boards.ai is an AI-driven platform that revolutionizes storyboarding for visual storytellers, including filmmakers, ad creators, and graphic novelists. It empowers users to transform written scripts into dynamic visual storyboards, maintain character consistency, and speed up the pre-production process with AI-enhanced storyboarding. The platform offers tailored storyboards, custom camera angles, character consistency, and a streamlined workflow to elevate narratives and unlock new realms of possibility in visual storytelling.

Luma AI is a 3D capture platform that allows users to create interactive 3D scenes from videos. With Luma AI, users can capture 3D models of people, objects, and environments, and then use those models to create interactive experiences such as virtual tours, product demonstrations, and training simulations.

Fotogram.ai is an AI-powered image editing tool that offers a wide range of features to enhance and transform your photos. With Fotogram.ai, users can easily apply filters, adjust colors, remove backgrounds, add effects, and retouch images with just a few clicks. The tool uses advanced AI algorithms to provide professional-level editing capabilities to users of all skill levels. Whether you are a photographer looking to streamline your workflow or a social media enthusiast wanting to create stunning visuals, Fotogram.ai has you covered.

The website 'NEEDS MORE BOOM' is a fun and creative platform that allows users to reimagine their favorite movie scenes with more explosions and action-packed elements. Users can input a movie scene, and the team behind the website will transform it into a high-octane spectacle reminiscent of a Michael Bay film. The site aims to inject excitement and thrill into mundane movie moments, offering a unique and entertaining experience for users who crave more boom in their cinematic adventures.

TalkDirtyAI is an AI-powered chatbot that allows users to explore their fantasies through simulated conversations. It is designed to provide a safe and private space for users to explore their sexuality and desires without judgment. The chatbot is trained on a massive dataset of erotic literature and is able to generate realistic and engaging conversations. It can also learn about the user's preferences over time and tailor the conversations accordingly.

Built In is an online community for startups and tech companies. Find startup jobs, tech news and events.

Built In is an online community for startups and tech companies. Find startup jobs, tech news and events.

Built In LA is an online community for startups and tech companies in Los Angeles. It provides a platform for job seekers to find tech jobs, tech companies to find talent, and tech enthusiasts to stay up-to-date on the latest news and events in the LA tech scene.

Built In is an online community for startups and tech companies. Find startup jobs, tech news and events.

Built In is an online community for startups and tech companies. Find startup jobs, tech news and events.

EmbodiedScan is a holistic multi-modal 3D perception suite designed for embodied AI. It introduces a multi-modal, ego-centric 3D perception dataset and benchmark for holistic 3D scene understanding. The dataset includes over 5k scans with 1M ego-centric RGB-D views, 1M language prompts, 160k 3D-oriented boxes spanning 760 categories, and dense semantic occupancy with 80 common categories. The suite includes a baseline framework named Embodied Perceptron, capable of processing multi-modal inputs for 3D perception tasks and language-grounded tasks.

This repository is a curated list of papers related to 3D tasks empowered by Large Language Models (LLMs). It covers tasks such as 3D understanding, reasoning, generation, and embodied agents. The repository also includes other Foundation Models like CLIP and SAM to provide a comprehensive view of the area. It is actively maintained and updated to showcase the latest advances in the field. Users can find a variety of research papers and projects related to 3D tasks and LLMs in this repository.

Awesome-AIGC-3D is a curated list of awesome AIGC 3D papers, inspired by awesome-NeRF. It aims to provide a comprehensive overview of the state-of-the-art in AIGC 3D, including papers on text-to-3D generation, 3D scene generation, human avatar generation, and dynamic 3D generation. The repository also includes a list of benchmarks and datasets, talks, companies, and implementations related to AIGC 3D. The description is less than 400 words and provides a concise overview of the repository's content and purpose.

Awesome-Colorful-LLM is a meticulously assembled anthology of vibrant multimodal research focusing on advancements propelled by large language models (LLMs) in domains such as Vision, Audio, Agent, Robotics, and Fundamental Sciences like Mathematics. The repository contains curated collections of works, datasets, benchmarks, projects, and tools related to LLMs and multimodal learning. It serves as a comprehensive resource for researchers and practitioners interested in exploring the intersection of language models and various modalities for tasks like image understanding, video pretraining, 3D modeling, document understanding, audio analysis, agent learning, robotic applications, and mathematical research.

ROSA is an AI Agent designed to interact with ROS-based robotics systems using natural language queries. It can generate system reports, read and parse ROS log files, adapt to new robots, and run various ROS commands using natural language. The tool is versatile for robotics research and development, providing an easy way to interact with robots and the ROS environment.

Recent LLM (Large Language Models)-based CV and multi-modal works.

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

Instruct2Act is a framework that utilizes Large Language Models to map multi-modal instructions to sequential actions for robotic manipulation tasks. It generates Python programs using the LLM model for perception, planning, and action. The framework leverages foundation models like SAM and CLIP to convert high-level instructions into policy codes, accommodating various instruction modalities and task demands. Instruct2Act has been validated on robotic tasks in tabletop manipulation domains, outperforming learning-based policies in several tasks.

MiniCPM-V is a series of end-side multimodal LLMs designed for vision-language understanding. The models take image and text inputs to provide high-quality text outputs. The series includes models like MiniCPM-Llama3-V 2.5 with 8B parameters surpassing proprietary models, and MiniCPM-V 2.0, a lighter model with 2B parameters. The models support over 30 languages, efficient deployment on end-side devices, and have strong OCR capabilities. They achieve state-of-the-art performance on various benchmarks and prevent hallucinations in text generation. The models can process high-resolution images efficiently and support multilingual capabilities.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

ShapeLLM is the first 3D Multimodal Large Language Model designed for embodied interaction, exploring a universal 3D object understanding with 3D point clouds and languages. It supports single-view colored point cloud input and introduces a robust 3D QA benchmark, 3D MM-Vet, encompassing various variants. The model extends the powerful point encoder architecture, ReCon++, achieving state-of-the-art performance across a range of representation learning tasks. ShapeLLM can be used for tasks such as training, zero-shot understanding, visual grounding, few-shot learning, and zero-shot learning on 3D MM-Vet.

VideoLLaMA 2 is a project focused on advancing spatial-temporal modeling and audio understanding in video-LLMs. It provides tools for multi-choice video QA, open-ended video QA, and video captioning. The project offers model zoo with different configurations for visual encoder and language decoder. It includes training and evaluation guides, as well as inference capabilities for video and image processing. The project also features a demo setup for running a video-based Large Language Model web demonstration.

ST-LLM is a temporal-sensitive video large language model that incorporates joint spatial-temporal modeling, dynamic masking strategy, and global-local input module for effective video understanding. It has achieved state-of-the-art results on various video benchmarks. The repository provides code and weights for the model, along with demo scripts for easy usage. Users can train, validate, and use the model for tasks like video description, action identification, and reasoning.

I'll help you craft scenes to produce for your demo reel or for scene study in acting class!

Coaches actors in scene analysis, character development for television and film.

A creative assistant for enhancing story scenes, focusing on vividness and character depth.

Meet Banter Scene Cartoonist 🎨: where your ideas turn into engaging cartoon scenes with witty dialogues 😄. I create vivid illustrations with educational and humorous exchanges between characters, tailored just for you

A guide through entertainment, fashion, film, and music, linking current events and culture.

Generates breathtaking ocean and beach Images to be printed

. . . . . . . . . . . ~ From the Mind of Mentis ~ . . . . . . . . . . . . Make a scene from your favorite PFPs! 👀🕳️🐇Upload images, choose key traits, scene and style and let FamSocial bring your dreams to life.

AI scene partner for actors, providing dynamic responses and feedback.

This GPT will take a user's data and use it to construct a fake TV scene. Start by providing it with your character's Patient Profile, Diagnostic Findings, and Lab Data

imagine the scene and DALL-E will make it

CoD gaming scene specialist for Call of Duty

You are the Infinite Detective. Enjoy endless guided interactive crime scene investigations

Just send us an image of a scene from a video work and i will guess the name of the work!

Incarne un détective sur une scène de crime, enquêtes, trouves des indices et deviens le nouveau Sherlock Holmes . 3 Niveaux de difficulté.

Unveiling the shadows of the Gothic scene

Viking-themed RPG Gamemaster with scene visualization

Let's get weird with a two-person improv scene

Your go-to partner for a great 2 person scene.

Expert in crafting cinematic, multi-scene images like triptychs.

Rewrites articles into engaging scripts with image prompts for each scene and captivating openings and closings.