zwx8981

zwx8981's Stars

• zsyOAOA/DifFace

  DifFace: Blind Face Restoration with Diffused Error Contraction (TPAMI, 2024)

  Language:Python65747

• AGI-Edgerunners/LLM-Continual-Learning-Papers

  Must-read Papers on Large Language Model (LLM) Continual Learning

  13912

• guoqincode/DiT-Visualization

  Visualization of DiT self attention features

  Language:Python17411

• mkettune/elpips

  E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles

  Language:Python10118

• mingukkang/Diffusion2GAN

  Website source files for Diffusion2GAN Project.

  Language:JavaScript784

• Continvvm/continuum

  A clean and simple data loading library for Continual Learning

  Language:Python42142

• ZhangYuanhan-AI/WorldQA

  Language:HTML3

• cloneofsimo/minSDXL

  Huggingface-compatible SDXL Unet implementation that is readily hackable

  Language:Jupyter Notebook40329

• 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 Notebook48.2k5.7k

• Q-Future/Q-Refine

  [MM 2024 Oral] Refiner for AIGC

  Language:Jupyter Notebook241

• Owen-Oertell/rlcm

  Language:Python462

• AIoT-MLSys-Lab/Efficient-LLMs-Survey

  [TMLR 2024] Efficient Large Language Models: A Survey

  1.1k87

• KwaiVGI/Uniaa

  Unified Multi-modal IAA Baseline and Benchmark

  Language:Python715

• snap-research/HyperHuman

  [ICLR 2024] Github Repo for "HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion"

  Language:HTML49314

• alvinliu0/HumanGaussian

  [CVPR 2024 Highlight] Code for "HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting"

  Language:Python44545

• weiji-Feng/MAD-Eval

  Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition

  Language:Jupyter Notebook3

• chuanyangjin/fast-DiT

  Fast Diffusion Models with Transformers

  Language:Python76199

• paperswithcode/releasing-research-code

  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

  2.6k717

• mihirp1998/AlignProp

  AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more sample and compute efficient than reinforcement learning methods (PPO) for finetuning Stable Diffusion

  Language:Python2478

• aleksandrskoselevs/place-pulse-dataset

  A PyTorch dataset class for the Place Pulse 2.0 dataset.

  Language:Jupyter Notebook233

• sunwei925/RQ-VQA

  Enhancing Blind Video Quality Assessment with Rich Quality-aware Features

  Language:Python321

• sunwei925/DN-PIQA

  Dual-Branch Network for Portrait Image Quality Assessment

  Language:Python131

• NJU-PCALab/AddSR

  Language:Python954

• princeton-nlp/QuRating

  [ICML 2024] Selecting High-Quality Data for Training Language Models

  Language:Python14710

• liuzhuang13/bias

  1031

• winwinwenwen77/ModularBVQA

  CVPR2024 ModularBVQA

  Language:Python192

• lbc12345/PromptCIR-NTIRE24

  The winner of NTIRE 2024 Blind Compressed Image Enhancement Challenge

  Language:Python331

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook65.9k33.9k

• cosmicman-cvpr2024/CosmicMan

  CosmicMan: A Text-to-Image Foundation Model for Humans (CVPR 2024)

  Language:Python3258

• sunwei925/MinimalisticVQA

  Analysis of video quality datasets via design of minimalistic video quality models

  Language:Python111