zwx8981

zwx8981's Stars

• oufuzhao/CLIB-FIQA

  Code for CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration

  Language:Python4

• vztu/COVER

  🏆 [CVPRW 2024] COVER: A Comprehensive Video Quality Evaluator. 🥇 Winner solution for Video Quality Assessment Challenge at the 1st AIS 2024 workshop @ CVPR 2024

  Language:Python14

• tianweiy/DMD2

  Language:Python26717

• FoundationVision/LlamaGen

  Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation

  Language:Python67424

• kuijiang94/MSPFN

  Multi-Scale Progressive Fusion Network for Single Image Deraining

  Language:Python15632

• va1shn9v/PromptIR

  PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]

  Language:Python28922

• runningcheese/MirrorSite

  镜像网站合集

  1.3k95

• Q-Future/A-Bench

  [LMM + AIGC] What do we expect from LMMs as AIGI evaluators and how do they perform?

  85

• songhwanjun/Awesome-Noisy-Labels

  A Survey

  52329

• cszn/BSRGAN

  Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

  Language:Python1.2k177

• zsyOAOA/DifFace

  DifFace: Blind Face Restoration with Diffused Error Contraction (PyTorch)

  Language:Python59641

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

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

  1069

• guoqincode/DiT-Visualization

  Visualization of DiT self attention features

  Language:Python8510

• mkettune/elpips

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

  Language:Python9917

• mingukkang/Diffusion2GAN

  Website source files for Diffusion2GAN Project.

  Language:JavaScript632

• Continvvm/continuum

  A clean and simple data loading library for Continual Learning

  Language:Python40344

• ZhangYuanhan-AI/WorldQA

  Language:HTML3

• cloneofsimo/minSDXL

  Huggingface-compatible SDXL Unet implementation that is readily hackable

  Language:Jupyter Notebook35927

• 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 Notebook45k5.3k

• Q-Future/Q-Refine

  Language:Python191

• Owen-Oertell/rlcm

  Language:Python392

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

  [TMLR 2024] Efficient Large Language Models: A Survey

  78966

• KwaiVGI/Uniaa

  Unified Multi-modal IAA Baseline and Benchmark

  554

• snap-research/HyperHuman

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

  Language:HTML47612

• alvinliu0/HumanGaussian

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

  Language:Python38440

• weiji-Feng/MAD-Eval

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

  Language:Jupyter Notebook2

• chuanyangjin/fast-DiT

  Fast Diffusion Models with Transformers

  Language:Python59083

• paperswithcode/releasing-research-code

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

  2.5k711

• 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:Python1997

• aleksandrskoselevs/place-pulse-dataset

  A PyTorch dataset class for the Place Pulse 2.0 dataset.

  Language:Jupyter Notebook132