Best AI tools for< Model Motion Sequences >

KLING AI is a cutting-edge video generation model developed by Kuaishou Kwai company. It can produce detailed and fluid videos at 1080p resolution and 30 frames per second, creating immersive visual experiences up to two minutes in length. The model excels in modeling intricate motion sequences and realistic physical interactions between objects, resulting in highly dynamic and lifelike scenes. From dance routines to action sequences, KLING AI blurs the line between artificial and authentic content.

EDGE is an AI-powered tool for editable dance generation from music. It utilizes a transformer-based diffusion model paired with Jukebox music feature extractor to create realistic and physically-plausible dances while remaining faithful to input music. The tool offers powerful editing capabilities such as joint-wise conditioning, motion in-betweening, and dance continuation. EDGE has been compared to other methods like Bailando and FACT, with human raters strongly preferring dances generated by EDGE due to its high-quality choreographies. The tool supports arbitrary spatial and temporal constraints, enabling users to create dances of any length and apply various motion constraints for dance generation.

Cascadeur is a standalone 3D software that lets you create keyframe animation, as well as clean up and edit any imported ones. Thanks to its AI-assisted and physics tools you can dramatically speed up the animation process and get high quality results. It works with .FBX, .DAE and .USD files making it easy to integrate into any animation workflow.

Phenaki is a model capable of generating realistic videos from a sequence of textual prompts. It is particularly challenging to generate videos from text due to the computational cost, limited quantities of high-quality text-video data, and variable length of videos. To address these issues, Phenaki introduces a new causal model for learning video representation, which compresses the video to a small representation of discrete tokens. This tokenizer uses causal attention in time, which allows it to work with variable-length videos. To generate video tokens from text, Phenaki uses a bidirectional masked transformer conditioned on pre-computed text tokens. The generated video tokens are subsequently de-tokenized to create the actual video. To address data issues, Phenaki demonstrates how joint training on a large corpus of image-text pairs as well as a smaller number of video-text examples can result in generalization beyond what is available in the video datasets. Compared to previous video generation methods, Phenaki can generate arbitrarily long videos conditioned on a sequence of prompts (i.e., time-variable text or a story) in an open domain. To the best of our knowledge, this is the first time a paper studies generating videos from time-variable prompts. In addition, the proposed video encoder-decoder outperforms all per-frame baselines currently used in the literature in terms of spatio-temporal quality and the number of tokens per video.

ChatGpt Sora is a groundbreaking open-source project that revolutionizes video creation. It enables users to craft videos directly from text, leveraging Sora's advanced AI to produce realistic scenes and animations. With ChatGpt Sora, creating high-quality videos is as simple as typing instructions, embodying the pinnacle of text-to-video technology and offering seamless deployment. Ideal for creators seeking innovation through OpenAI's cutting-edge Sora capabilities.

bigmp4 is an AI-powered video enhancement tool that uses cutting-edge AI models to enhance the quality of videos. It offers features such as lossless video enlargement, video enhancement, AI interpolation to make videos more vivid, black and white video colorization, and smooth slow motion. The tool supports various file formats, including mp4, mov, mkv, m4v, mpg, mpeg, avi, jpg, png, bmp, webp, and gif. It also supports batch mode processing, allowing users to upload multiple files for simultaneous processing.

SoraWebui is an open-source web platform that simplifies video creation by allowing users to generate videos from text using OpenAI's Sora model. It provides an easy-to-use interface and one-click website deployment, making it accessible to both professionals and enthusiasts in video production and AI technology. SoraWebui also includes a simulated version of the Sora API called FakeSoraAPI, which allows developers to start developing and testing their projects in a mock environment.

Kling AI is a revolutionary text-to-video generation model that enables users to effortlessly craft artistic video productions. It boasts impressive capabilities in creating videos, making imagination come alive. With features like dynamic motion generation, long video creation, simulation of the physical world, conceptual combination, and cinematic video generation, Kling AI offers a unique and efficient video production experience. Users can enjoy generating videos with realistic movements, diverse aspect ratios, and cinematic quality, all powered by advanced AI technology.

Higgsfield is a foundational video model company that wants to democratize social media creation for everyone. They are training a foundational video model that offers unparalleled personalization and control, realistic human characters and motion. Diffuse is a video creation app that empowers anyone to create personalized content with just 1 selfie. It is powered by a preview version of Higgsfield's foundational model. Higgsfield AI builds the foundational video AI model for characters and humans. They aim to change content creation fundamentally by providing complete control over every aspect of video production. Their AI technology reimagines content production, offering unparalleled control and a vast array of settings to bring your vision to life with efficiency and flair. Higgsfield harnesses the latest in AI innovation for storytelling that breaks the mold, allowing for total customization of aesthetics, style, motion, and mood.

Rocketbrew is an AI-powered tool that helps businesses automate their LinkedIn and email outreach. It uses a generative AI model to craft personalized messages for each lead, including follow-ups. Rocketbrew also allows users to easily tune the model with their own product description and value proposition. With Rocketbrew, businesses can save time and effort on prospecting and focus on closing more deals.

Viggle AI is a revolutionary controllable video generation platform powered by the JST-1 machine learning model. It allows users to effortlessly create stunning visual effects by blending movement patterns from video clips with images, resulting in captivating animations. With core features like Mix, Animate, and Ideate, Viggle AI offers a wide range of creative possibilities for professionals and enthusiasts alike. The platform is free to use and provides a user-friendly interface through Discord, where users can interact, ask questions, and explore their creativity.

Luma Dream Machine is an AI video generator tool that creates high-quality, realistic videos from text and images. It is a scalable and efficient transformer model trained directly on videos, capable of generating physically accurate and eventful shots. The tool aims to build a universal imagination engine, enabling users to bring their creative visions to life effortlessly.

Atlabs is the #1 AI Video Generator, offering an end-to-end AI video marketing platform for businesses. It allows users to create engaging videos in minutes by starting with a website link or text prompt. The platform provides features like AI Script Writer, AI Visuals Generator, AI Brand Model, AI Voiceovers, Trendy Captions, one-click translation, and more. Users can create high-quality videos with motion graphics, B-rolls, captions, and other assets effortlessly. Atlabs is trusted by various brands globally and offers a complete video communications toolkit for busy individuals.

Sora is an AI-powered video creation tool that allows users to create realistic and imaginative videos from text instructions. It is powered by OpenAI's Gemini 1.5 Pro, a large language model with 10 million tokens. Sora is designed to be easy to use, even for those with no video editing experience. Users simply need to enter a text prompt describing the video they want to create, and Sora will generate a video based on that prompt.

SoraPrompting is a website that provides a collection of prompts to help users get started with Sora prompting and create high-quality video content. The website also includes a form for users to submit their own prompts, which can then be reviewed and added to the collection for the community to explore and create videos from. Sora is OpenAI's revolutionary text-to-video model, designed to understand and simulate the physical world in motion. It aims to assist in solving real-world problems through dynamic interaction. Sora stands out by generating high-quality videos up to a minute long while maintaining visual excellence and adhering to user prompts. Its unique capabilities make it a game-changer in the AI landscape.

Dream Machine AI is a free, instant-access video generation model that transforms text and images into high-quality videos using advanced transformer models. It leverages Luma AI to create stunning videos effortlessly, with features like incredibly fast generation, realistic and consistent motion, high character consistency, and natural camera movements. Users can access the platform for free and enjoy the benefits of quick video generation with physically accurate and emotionally resonant content.

MakeMyAnime is an AI-powered platform that allows users to create animations quickly and easily without the need for prior experience. With a range of tools for character creation, background drawing, interpolation animation, lipsync, and motion brush, users can bring their anime ideas to life in a matter of minutes. The platform offers a pay-as-you-go pricing model, allowing users to buy credits only when needed and providing 24/7 support for assistance. MakeMyAnime aims to simplify the animation creation process and make it accessible to a wider audience.

OpenAI Sora is a text-to-video model that can generate realistic and imaginative video scenes from text instructions. It's designed to simulate the physical world in motion, generating videos up to a minute long while maintaining visual quality and adhering to the user's prompt.

Luma AI Video Generator is an AI model designed to create high-quality and fantastical videos from text instructions and images. It offers fast video generation, realistic motion and cinematography, physical accuracy and consistency, diverse camera movements, and scalability. Users can quickly generate videos by inputting text descriptions, and the tool is free to use with a limited free quota per month.

Metail is an AI tool specializing in apparel AI solutions. The platform offers services such as EcoShot for creating on-model images from 3D designs, AI-generated models, and Machine-Learning Advanced Motion Analytics (MAMA) for factory efficiency. Metail also provides the Metail-Avatar-System (MAS) for accurate 3D body scans and SizeStream mobile apps for personalized experiences. The company focuses on leveraging AI technologies to enhance the capabilities of apparel companies and improve user experiences.

MotionLLM is a framework for human behavior understanding that leverages Large Language Models (LLMs) to jointly model videos and motion sequences. It provides a unified training strategy, dataset MoVid, and MoVid-Bench for evaluating human behavior comprehension. The framework excels in captioning, spatial-temporal comprehension, and reasoning abilities.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

EMA-VFI-WebUI is a web-based graphical user interface (GUI) for the EMA-VFI AI-based movie restoration tool. It provides a user-friendly interface for accessing the various features of EMA-VFI, including frame interpolation, frame search, video inflation, video resynthesis, frame restoration, video blending, file conversion, file resequencing, FPS conversion, GIF to MP4 conversion, and frame upscaling. The web UI makes it easy to use EMA-VFI's powerful features without having to deal with the command line interface.

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

Awesome Mamba is a curated collection of groundbreaking research papers and articles on Mamba Architecture, a pioneering framework in deep learning known for its selective state spaces and efficiency in processing complex data structures. The repository offers a comprehensive exploration of Mamba architecture through categorized research papers covering various domains like visual recognition, speech processing, remote sensing, video processing, activity recognition, image enhancement, medical imaging, reinforcement learning, natural language processing, 3D recognition, multi-modal understanding, time series analysis, graph neural networks, point cloud analysis, and tabular data handling.

MachinaScript For Robots is a dynamic set of tools and a LLM-JSON-based language designed to empower humans in the creation of their own robots. It facilitates the animation of generative movements, the integration of personality, and the teaching of new skills with a high degree of autonomy. With MachinaScript, users can control a wide range of electronic components, including Arduinos, Raspberry Pis, servo motors, cameras, sensors, and more. The tool enables the creation of intelligent robots accessible to everyone, allowing for complex tasks to be performed with elegance and precision.

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.

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.

Awesome LLM for APR is a repository dedicated to exploring the capabilities of Large Language Models (LLMs) in Automated Program Repair (APR). It provides a comprehensive collection of research papers, tools, and resources related to using LLMs for various scenarios such as repairing semantic bugs, security vulnerabilities, syntax errors, programming problems, static warnings, self-debugging, type errors, web UI tests, smart contracts, hardware bugs, performance bugs, API misuses, crash bugs, test case repairs, formal proofs, GitHub issues, code reviews, motion planners, human studies, and patch correctness assessments. The repository serves as a valuable reference for researchers and practitioners interested in leveraging LLMs for automated program repair.

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