[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Must-read Papers on Knowledge Editing for Large Language Models.

Erasing Concepts from Diffusion Models

📚 A collection of papers about Referring Image Segmentation.

[ICCV 2025] Official code for "Latent Expression Generation for Referring Image Segmentation and Grounding"

🐸 collection of TTS papers

The official implementation of HierSpeech++

AllTalk is based on the Coqui TTS engine, similar to the Coqui_tts extension for Text generation webUI, however supports a variety of advanced features, such as a settings page, low VRAM support, D…

ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation

Large language models to diffusion finetuning code

A curated collection of papers, tutorials, videos, and other valuable resources related to Mamba.

A collection of resources and papers on Diffusion Models

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

This repository collects 100 papers related to negative sampling methods.

[ECCV2024] IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild

[AAAI 2025] Official implementation of "OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on"

[CVPR 2024] CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model

[CVPR2024] StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person

저희는 시각장애인의 일상 생활을 보다 편리하게 만들어줄 수 있는 시각적 질의응답 서비스를 개발하고자 합니다.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

[CHIL 2024] ViewXGen: Vision-Language Generative Model for View-Specific Chest X-ray Generation

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

LAVIS - A One-stop Library for Language-Vision Intelligence

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Notebooks using the Hugging Face libraries 🤗