This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

This repository periodicly updates the MTL paper and resources

X-LoRA: Mixture of LoRA Experts

AdaMoLE: Adaptive Mixture of LoRA Experts

Project Page for "Multi-Task Dense Prediction via Mixture of Low-Rank Experts"

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data (NeurIPS 2023 Spotlight) / / / / When Does Perceptual Alignment Benefit Vision Representations? (NeurIPS 2024)

Official Pytorch Implementation of Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

A python library for self-supervised learning on images.

Next-Token Prediction is All You Need

[ECCV 2024] The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion"

More suitable IP-Adapter for the DiT architecture

OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340

LayerDiffuse in pure diffusers without any GUI

Benchmarking Generalized Out-of-Distribution Detection

[MICCAI 2024] Codebase for "Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process"

Multi-Class Few-Shot Semantic Segmentation with Visual Prompts

Official PyTorch Implementation of DIaM in "A Strong Baseline for Generalized Few-Shot Semantic Segmentation" (CVPR 2023)

[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation

Official Implementation of VAT

High-Performance Few-Shot Segmentation with Foundation Models: An Empirical Study

This repo contains documentation and code needed to use PACO dataset: data loaders and training and evaluation scripts for objects, parts, and attributes prediction models, query evaluation scripts…

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding