maruiperfect / R-R-Net
Code for Remember and Reuse: Cross-Task Blind Image Quality Assessment via Relevance-aware Incremental Learning (ACM Multimedia 2021)
☆12Updated 3 years ago
Related projects: ⓘ
- [TPAMI2023] Continual Learning for Blind Image Quality Assessment☆44Updated 10 months ago
- ☆17Updated 2 years ago
- Full-Reference Vision Transformer (ViT)-based IQA method☆19Updated 4 months ago
- [TMM 2023] Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality Token☆9Updated 6 months ago
- Memory Oriented Transfer Learning for Semi-Supervised Image Deraining☆25Updated 9 months ago
- Checkpoints, logs and source code for AAAI-23 paper 'Data-Efficient Image Quality Assessment with Attention-Panel Decoder'☆30Updated 5 months ago
- Code for VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment☆21Updated last year
- Official PyTorch implementation of the paper "Recycling Discriminator: Towards Opinion-Unaware Image Quality Assessment Using Wasserstein…☆25Updated 2 years ago
- Unifying Image Processing as Visual Prompting Question Answering☆15Updated 3 months ago
- ☆18Updated last year
- NTIRE 2021, Image Quality Assessment Challenge (MACS team)☆23Updated 4 months ago
- ☆26Updated last year
- ☆11Updated this week
- Conformer and Blind Noisy Students for Improved Image Quality Assessment☆12Updated last year
- An effective image quality assessment framework combining Segment Anything (SAM). This is the official implementation of our paper.☆24Updated last year
- Unofficial implementation of CVPR2021 paper "Perceptual Image Quality Assessment with Transformers"☆68Updated 2 years ago
- Locally Adaptive DISTS☆14Updated 6 months ago
- Official repository for our paper titled "Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality…☆11Updated 3 months ago
- Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)☆41Updated 2 years ago
- [ Official ] - PIPAL Dataset and Training Codebase. ECCV-2020, NTIRE-21/22.☆68Updated 2 years ago
- ☆25Updated 7 months ago
- ☆26Updated 7 months ago
- Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining☆23Updated 2 years ago
- [ICME 2023 Oral, Extended to TIP (UR)] The best zero-shot VQA approach that even outperforms several fully-supervised methods.☆35Updated last year
- [CVPRW 2021] Codes for Region-Adaptive Deformable Network for Image Quality Assessment☆60Updated 2 years ago
- [CVPRW 2022] Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network☆73Updated 2 years ago
- PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"☆53Updated 2 years ago
- Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception☆44Updated last year
- Unofficial pytorch implementation of the paper "Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective"☆25Updated 2 years ago
- ☆17Updated 3 years ago