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👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
[ECCV 2024] Official Pytorch Implementation of A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment
Max360IQ: Blind Omnidirectional Image Quality Assessment with Multi-axis Attention
[ECCV 2022] We investigated a broad range of neural network elements and developed a robust perceptual similarity metric. Our shift-tolerant perceptual similarity metric (ST-LPIPS) is consistent wi…
This repo is a lib for classic SIQA models implementation in PyTorch.
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/sp…
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate 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.
Blind visual quality assessment on 360° Video based on progressive learning
Code for Remember and Reuse: Cross-Task Blind Image Quality Assessment via Relevance-aware Incremental Learning (ACM Multimedia 2021)
Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors (IJCV2022)
(TPAMI2022) Salient Object Detection via Integrity Learning.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Source codes for "Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment"
Source code for paper "Contrastive Self-Supervised Pre-Training for Video Quality Assessment".
Source codes for "RIRNet: Recurrent-In-Recurrent Network for Video Quality Assessment"
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
Official implementation for "Image Quality Assessment using Contrastive Learning"
Official Implementation of "Subjective and Objective Quality of Experiment of Free Viewpoint Videos"
A stereoscopic image quality assessment metric based on binocular interaction and fusion mechanisms.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Awesome works and resources are relevant to 360 processing.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…