[AAAI-2023] Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
☆35Apr 27, 2023Updated 3 years ago
Alternatives and similar repositories for SAIN
Users that are interested in SAIN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Aug 31, 2023Updated 2 years ago
- [CVPR 2022 Oral] Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations☆13Jul 14, 2022Updated 4 years ago
- [CVPR 2023] Real-time 6K Image Rescaling with Rate-distortion Optimization. Official implementation.☆74Jun 12, 2023Updated 3 years ago
- Image downscaling & super-resolution project based on "Once for All: Train One Network and Specialize it for Efficient Deployment" (ICLR …☆14Jul 1, 2021Updated 5 years ago
- ☆18Nov 21, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This is the PyTorch implementation of paper: FSR (AAAI 2023 Oral).☆12Sep 12, 2023Updated 2 years ago
- [ECCV 2020, IJCV 2022] Invertible Image Rescaling☆652Apr 6, 2023Updated 3 years ago
- ☆12Aug 12, 2024Updated 2 years ago
- Open source image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art deep learni…☆29Oct 23, 2023Updated 2 years ago
- Code Repository for Research Article Titled - "Omnidirectional Video Super-Resolution using Deep Learning"☆13Apr 16, 2023Updated 3 years ago
- Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling (CVPR 2021)☆47Aug 4, 2021Updated 5 years ago
- A Pytorch Implementation of a continuously rate adjustable learned image compression framework.☆78Apr 6, 2023Updated 3 years ago
- ☆21Oct 6, 2023Updated 2 years ago
- Joint autoregressive and hierarchical priors for learned image compression☆46Sep 15, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ICCV2021: Self-Conditioned Probabilistic Learning of Video Rescaling☆16Sep 27, 2022Updated 3 years ago
- Variable rate with MAE☆30Apr 11, 2021Updated 5 years ago
- ☆49Jun 1, 2023Updated 3 years ago
- Repository for "Enhanced Super-Resolution Training via Mimicked Alignment for Real-World Scenes", ACCV 2024☆16Dec 2, 2024Updated last year
- Authors' PyTorch implementation of "Lossy Image Compression with Quantized Hierarchical VAEs"☆16Mar 8, 2023Updated 3 years ago
- [CVPR 2023] Learning Steerable Function for Efficient Image Resampling☆17Jun 1, 2023Updated 3 years ago
- ☆12Mar 25, 2024Updated 2 years ago
- Solution of the NTIRE 2022 Challenge on Efficient Super-Resolution☆124May 9, 2022Updated 4 years ago
- The code and pre-trained models of the paper "Masked Autoencoders as Image Processors" will be released in this repository.☆22Mar 31, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official Code for our CVPR2023 paper "Human Guided Ground-truth Generation for Realistic Image Super-resolution"☆131Jun 6, 2026Updated 2 months ago
- AAAI-2024 KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching☆19Jan 30, 2024Updated 2 years ago
- Open source repository at GitHub for Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding☆15Oct 5, 2021Updated 4 years ago
- [WACV 2025] "Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec Compression"☆20Oct 14, 2025Updated 10 months ago
- [NeurIPS 2023] Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment☆38Oct 11, 2023Updated 2 years ago
- a image demosaicking neural network based on UNet++☆11Mar 24, 2021Updated 5 years ago
- LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution☆45Feb 27, 2024Updated 2 years ago
- The official PyTorch implementation of DeeDSR☆20Feb 28, 2025Updated last year
- Reference based Image Super-Resolution via Variational AutoEncoder☆29Jul 26, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 🏠[CVPR 2024 Highlight] Boosting Neural Representations for Videos with a Conditional Decoder☆54Apr 19, 2024Updated 2 years ago
- [WACV 23] Efficient Reference-based Video Super-Resolution (ERVSR)☆34Oct 20, 2022Updated 3 years ago
- [WACV 2024] Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation☆14Jul 11, 2024Updated 2 years ago
- A Pytorch Implementation of paper: "Neural Color Operators for Sequential Image Retouching", ECCV 2022☆10Oct 25, 2022Updated 3 years ago
- Paper 'Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanisms' in ACM Multimedia '22.☆64Jan 15, 2023Updated 3 years ago
- Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.☆25Feb 15, 2023Updated 3 years ago
- Super-Resolution Neural Operator, in CVPR 2023☆191May 18, 2023Updated 3 years ago