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Wavelet Convolutions for Large Receptive Fields. ECCV 2024.
Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"
Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention (CVPR 2022)
[CVPR 2023] Effcient Frequence Domain-based Transformer for High-Quality Image Deblurring
AAAI-2024 KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching
[ICCV 2021 (Oral Presentation)] Dual-Camera Super-Resolution with Aligned Attention Modules (RefSR)
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)
📚 A collection of sketch based application papers.
ECCV24-PoseSOR: Human Pose Can Guide Our Attention
Repository of the paper "Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules"
[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
[CVPR 2024 Oral] Official repository of FMA-Net
A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.
Official dataset and codes of Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World[CVPR2024].
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, arXiv2024]
This is the PyTorch implementation of paper: FSR (AAAI 2023 Oral).
[CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for imag…
Three methods of color transfer implemented in python.
Colour transfer algorithms for grading the colours of an image
[AAAI-2023] Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
[ECCV2024] Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors