tamwaiban

tamwaiban's Stars

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook44.8k2976445.3k

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.3k1k1843.4k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python28.4k2145192.6k

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25k2194472.9k

• mlc-ai/mlc-llm

  Universal LLM Deployment Engine with ML Compilation

  Language:Python17.4k1651.1k1.4k

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook13.8k1143671.3k

• openai/shap-e

  Generate 3D objects conditioned on text or images

  Language:Python11.4k238109902

• facebookresearch/AnimatedDrawings

  Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

  Language:Python10.3k83164873

• godly-devotion/MochiDiffusion

  Run Stable Diffusion on Mac natively

  Language:Swift7k61140328

• gaomingqi/Track-Anything

  Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

  Language:Python6.2k60128455

• Deci-AI/super-gradients

  Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

  Language:Jupyter Notebook4.4k43628475

• UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  Language:Python4.1k56137336

• sail-sg/EditAnything

  Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)

  Language:Python3.2k3957175

• fudan-zvg/Semantic-Segment-Anything

  Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

  Language:Python2k1955125

• VainF/Awesome-Anything

  General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

  1.7k52192

• dbolya/tomesd

  Speed up Stable Diffusion with this one simple trick!

  Language:Python1.2k194778

• Fantasy-Studio/Paint-by-Example

  Paint by Example: Exemplar-based Image Editing with Diffusion Models

  Language:Python998225191

• BachiLi/diffvg

  Differentiable Vector Graphics Rasterization

  Language:Python8752265147

• shader-park/shader-park-core

  A JavaScript library for creating real-time 2D and 3D shaders. JS -> Shader. https://shaderpark.com/ https://twitter.com/shaderpark

  Language:JavaScript71296620

• SHI-Labs/Prompt-Free-Diffusion

  Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models, arxiv 2023 / CVPR 2024

  Language:Python712122335

• keijiro/UnityMLStableDiffusion

  Core ML Stable Diffusion on Unity

  Language:C#585161048

• SHI-Labs/Matting-Anything

  Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance.

  Language:Python551142143

• ShihaoZhaoZSH/Uni-ControlNet

  [NeurIPS 2023] Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models

  Language:Python534141836

• drboog/ProFusion

  Code for Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach

  Language:Jupyter Notebook460162029

• hustvl/Matte-Anything

  [Image and Vision Computing] Interactive Natural Image Matting with Segment Anything Models

  Language:Python41981831

• vijishmadhavan/UnpromptedControl

  Remove unwanted objects and restore images without prompts, powered by ControlNet.

  Language:Jupyter Notebook4156738

• hustvl/ViTMatte

  [Information Fusion] Boosting Image Matting with Pretrained Plain Vision Transformers

  Language:Python272113128

• Huage001/Transfer-Any-Style

  An interactive demo based on Segment-Anything for style transfer which enables different content regions apply different styles.

  Language:Python93564

• OpenGVLab/MUTR

  [AAAI 2024] Referred by Multi-Modality: A Unified Temporal Transformers for Video Object Segmentation

  Language:Python56334

• Tombs98/M3SNet

  A Mountain-Shaped Single-Stage Network for Accurate Image Restoration

  Language:Python28262