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ML super resolution
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
[CVPR 2022 Oral] Towards Layer-wise Image Vectorization
Colabs for Neural Image Enhancement.
[CVPR 2022] VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
[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/m…
Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution
[ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"
Bicubic++ (NTIRE @ CVPR 2023, Real Time Super Resolution Track 2 winner)
Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
[CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution
Official code for "SRFormer: Permuted Self-Attention for Single Image Super-Resolution" (ICCV 2023) and SRFormerV2
models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)
[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge
Spandrel gives your project support for various PyTorch architectures meant for AI Super-Resolution, restoration, and inpainting. Based on the model support implemented in chaiNNer.
ESRGAN implemented in rust with candle
WACV2024 - Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution
neosr is an open-source framework for training super-resolution models.
Let us democratise high-resolution generation! (CVPR 2024)