xuboming8 / CDVD-TSPNL
This repository is the official PyTorch implementation of our TPAMI paper"Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-local Spatial-Temporal Similarity"
☆29Updated last month
Related projects: ⓘ
- ☆12Updated 9 months ago
- Efficient Visual State Space Model for Image Deblurring☆17Updated 3 months ago
- Coherent Event Guided Low-Light Video Enhancement☆24Updated 3 months ago
- ☆28Updated 3 months ago
- Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution☆21Updated 3 weeks ago
- ☆11Updated last week
- IJCV2023 paper: Deblurring Low-Light Images with Events☆15Updated last year
- Low-light Raw Video Denoising with a High Quality Realistic Motion Dataset☆14Updated last year
- ☆57Updated 2 months ago
- [TNNLS2023] STDAN: Deformable Attention Network for Space-Time Video Super-Resolution☆15Updated last week
- ☆56Updated last year
- A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution☆10Updated last year
- Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset (Real-RawVSR), ECCV 2022☆50Updated 8 months ago
- This repository is the official PyTorch implementation of our CVPR2023 paper "Deep Discriminative Spatial and Temporal Network for Effici…☆59Updated last month
- [CVPR 2024] Binarized Low-light Raw Video Enhancement☆20Updated 2 months ago
- Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones (ECCV 2022)☆30Updated last year
- ☆20Updated last year
- The source code for "Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Appr…☆45Updated 3 weeks ago
- [TMM 2023] Exploiting Spatial and Angular Correlations With Deep Efficient Transformers for Light Field Image Super-Resolution☆13Updated last year
- ☆21Updated 3 years ago
- ☆49Updated 8 months ago
- Physics-guided Noise Neural Proxy for Practical Low-light Raw Image Denoising☆13Updated 7 months ago
- The repository is an official implementation of our CVPRW2021 paper : Learning A Cascaded Non-Local Residual Network for Super-resolving …☆20Updated 3 years ago
- [arXiv 2024] Exposure Bracketing is All You Need for Unifying Image Restoration and Enhancement Tasks☆58Updated 2 months ago
- Official implementation of Memory-Augmented Non-Local Attention for Video Super-Resolution in CVPR 2022☆43Updated 2 years ago
- Official implementation of "Prompt-based test-time real image dehazing: a novel pipeline".☆15Updated 9 months ago
- AAAI-2024 KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching☆14Updated 7 months ago
- ☆28Updated last month
- 局部归因图(Local Attribution Map， LAM)是一个超分辨率重建任务的可解释性工具，旨在找到低分辨率输入图像中对网络超分结果贡献最强烈的像素。LAM 将跟踪模型使用的信息，并在指定超分结果局部区域的前提下，高亮对超分结果贡献最大的像素。☆14Updated last year
- Official implementation for our ICCV 2023 paper “Towards General Low-Light Raw Noise Synthesis and Modeling”☆60Updated 10 months ago