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[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution
Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution
NeurIPS 2023 - Real-world super-resolution as multi-task learning
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)
A python package to process Direct Numerical Simulations
[NeurIPS 2024]Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
[NeurIPS 2024]Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
PyTorch code for our NeurIPS 2024 paper "Binarized Diffusion Model for Image Super-Resolution"
[NeurlPS2024] One-Step Effective Diffusion Network for Real-World Image Super-Resolution
WBSR: Rethinking Imbalance in Image Super-Resolution for Efficient Inference
PyTorch code for our paper "2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution"
Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or exte…
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Ahead of Time compiler for numeric kernels
Tensorflow implementation of 'Accelerating the Super-Resolution Convolutional Neural Network'.
TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.
SwinIR: Image Restoration Using Swin Transformer (official repository)
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration
Accepted by New Trends in Image Restoration and Enhancement workshop (NTIRE), in conjunction with CVPR 2024.
[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
A massively parallel, optimal functional runtime in Rust
A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and power…