yanglixiaoshen / SAP-NetLinks
Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images (IEEE ICME'2021))
☆20Updated 3 years ago
Alternatives and similar repositories for SAP-Net
Users that are interested in SAP-Net are comparing it to the libraries listed below
Sorting:
- [official] Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training (IJCV 2021)☆91Updated 3 years ago
- GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment☆44Updated 2 years ago
- [CVPRW 2021] Codes for Region-Adaptive Deformable Network for Image Quality Assessment☆63Updated 4 years ago
- No-Reference Video Quality Model for consumer video☆48Updated 3 years ago
- [TPAMI2023] Continual Learning for Blind Image Quality Assessment☆51Updated 2 years ago
- [CVPRW 2022] Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network☆86Updated 3 years ago
- Unofficial implementation of CVPR2021 paper "Perceptual Image Quality Assessment with Transformers"☆74Updated 4 years ago
- PyTorch Implementation of TCSVT 2020 "Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks"☆23Updated 4 years ago
- Method and experience of winning the NTIRE'22 VQE challenge.☆82Updated 2 years ago
- Re-implement the work from "Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework"☆34Updated 6 years ago
- Official implementation of "Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images" (ECCV'20).☆64Updated 2 years ago
- Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception☆49Updated 2 years ago
- Source code for no-reference video quality model CNN-TLVQM☆16Updated 4 years ago
- A list of image quality related papers published in top conferences and journals☆119Updated last year
- [ICCV'21] CKDN: Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment☆59Updated 3 years ago
- [IEEE OJSP'2021] "RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content", Zhengzhong Tu, Xiangxu Yu, Yilin Wang,…