cxgincsu

cxgincsu's Stars

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python39.4k3903236.4k

• upscayl/upscayl

  🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.

  Language:TypeScript34.9k1688531.6k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook27.4k3264103.4k

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python21.4k1601.6k2.4k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python11k815151k

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7.3k50223556

• ant-research/MagicQuill

  Official Implementations for Paper - MagicQuill: An Intelligent Interactive Image Editing System

  Language:Python2.9k34106280

• openvinotoolkit/openvino_notebooks

  📚 Jupyter notebook tutorials for OpenVINO™

  Language:Jupyter Notebook2.6k58339853

• X-PLUG/mPLUG-Owl

  mPLUG-Owl: The Powerful Multi-modal Large Language Model Family

  Language:Python2.4k30235177

• moein-shariatnia/OpenAI-CLIP

  Simple implementation of OpenAI CLIP model in PyTorch.

  Language:Jupyter Notebook65262198

• LAION-AI/aesthetic-predictor

  A linear estimator on top of clip to predict the aesthetic quality of pictures

  Language:Jupyter Notebook51513719

• sniklaus/pytorch-liteflownet

  a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version

  Language:Python416105380

• BGU-CS-VIL/WTConv

  Wavelet Convolutions for Large Receptive Fields. ECCV 2024.

  Language:Python40073917

• IceClear/CLIP-IQA

  [AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images

  Language:Python37043220

• Q-Future/Q-Align

  ③[ICML2024] [IQA, IAA, VQA] All-in-one Foundation Model for visual scoring. Can efficiently fine-tune to downstream datasets.

  Language:Python35324223

• ltkong218/IFRNet

  IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation (CVPR 2022)

  Language:Python28494123

• zwx8981/LIQE

  [CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

  Language:Python21213112

• jursonovicst/gradient

  10-BIT DISPLAY TEST SEQUENCE

  Language:Shell1575911

• DXOMARK-Research/PIQ2023

  Language:Jupyter Notebook927123

• lixinustc/KVQ-Challenge-CVPR-NTIRE2024

  The first challenge on short-form video quality assessment

  Language:Python731181

• taco-group/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:Python50274

• jarikorhonen/nr-vqa-consumervideo

  No-Reference Video Quality Model for consumer video

  Language:MATLAB441129

• microsoft/Video_Call_MOS

  A video quality MOS prediction model for videoconferencing calls that takes temporal distortions into account

  Language:Python39909

• microsoft/P.910

  Crowdsourced implementation of P.910

  Language:HTML26111516

• avinabsaha/HIDRO-VQA

  Official Implementation of WACV 2024 Paper "HIDRO-VQA : High Dynamic Range Oracle for Video Quality Assessment"

  Language:Python14113

• zijianchen98/BAND-2k

  [ISCAS2024, TCSVT2024] A Banding Artifact Noticeable Database for Banding Detection and Quality Assessment

  11310

• kyillene/D-JNDQ

  Language:Python7100

• NabajeetBarman/Multiscreen-Dataset

  5100

• utlive/bband-adaband

  Language:MATLAB5101

• utlive/HDRMAX

  The official HDRMAX release

  Language:Python3101