A general fine-tuning kit geared toward diffusion models.

This repo provides a working re-implementation of Latent Adversarial Diffusion Distillation by AMD

[CVPR 2025] Official implementation of the paper "SmartEraser: Remove Anything from Images using Masked-Region Guidance".

[CVPR2025] RORem: Training a Robust Object Remover with Human-in-the-Loop

Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild

Accepted by New Trends in Image Restoration and Enhancement workshop (NTIRE), in conjunction with CVPR 2024.

This is the official PyTorch implementation of ShadowRefiner. Our method is winner of Perceptual Track and achieves the second-best performance for Fidelity Track in NTIRE 2024 Shadow Removal Chall…

Multi-view Aggregation Network for Dichotomous Image Segmentation (CVPR24, Highlight)

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

Large Action Model framework to develop AI Web Agents

PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.

[CVPR 2024] X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model

Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

Dense Optical Tracking: Connecting the Dots

A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation

CVSports23 Paper: Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration

A tool for evaluating LLMs

[TPAMI'23] Unifying Flow, Stereo and Depth Estimation

Object tracking measure in javascript (MOTA, IDF1 ...)

Sparsity-aware deep learning inference runtime for CPUs

Supercharge Your LLM Application Evaluations 🚀

Label Studio is a multi-type data labeling and annotation tool with standardized output format

OpenMMLab Computer Vision Foundation

A "chat with your data" example: using a large language models (LLM) to interact with our own (local) data. Everything is local: the embedding model, the LLM, the vector database. This is an exampl…

irresponsible innovation. Try now at https://chat.dev/

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