Topic: image-sr Goto Github
Some thing interesting about image-sr
Some thing interesting about image-sr
image-sr,Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
User: jingyunliang
Home Page: https://arxiv.org/abs/2103.15977
image-sr,Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
User: jingyunliang
Home Page: https://arxiv.org/abs/2108.05301
image-sr,Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
User: jingyunliang
Home Page: https://arxiv.org/abs/2108.05302
image-sr,SwinIR: Image Restoration Using Swin Transformer (official repository)
User: jingyunliang
Home Page: https://arxiv.org/abs/2108.10257
image-sr,[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr
User: mv-lab
Home Page: https://arxiv.org/abs/2209.11345
image-sr,[CVPR 2024] "CFAT: Unleashing Triangular Windows for Image Super-resolution"
User: rayabhisek123
Home Page: https://arxiv.org/abs/2403.16143
image-sr,Data Upcycling Knowledge Distillation for Image Super-Resolution (official repository)
User: yun224
Home Page: https://arxiv.org/abs/2309.14162
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