denoising.md

Denoising

• (arXiv 2021.12) Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers, [Paper]
• (arXiv 2022.03) Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics, [Paper], [Code]
• (arXiv 2022.03) Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis, [Paper], [Code]
• (arXiv 2022.05) Coarse-to-Fine Video Denoising with Dual-Stage Spatial-Channel Transformer, [Paper]
• (arXiv 2022.05) Dense residual Transformer for image denoising, [Paper]
• (arXiv 2022.07) DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer, [Paper]
• (arXiv 2022.11) Spatial-Spectral Transformer for Hyperspectral Image Denoising, [Paper], [Code]
• (arXiv 2023.03) Xformer: Hybrid X-Shaped Transformer for Image Denoising, [Paper]
• (arXiv 2023.03) Hybrid Spectral Denoising Transformer with Learnable Query, [Paper]
• (arXiv 2023.04) Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising, [Paper], [Code]
• (arXiv 2023.04) Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair Training, [Paper], [Code]
• (arXiv 2023.04) Self-Supervised Image Denoising for Real-World Images with Context-aware Transformer, [Paper]
• (arXiv 2023.04) DDT: Dual-branch Deformable Transformer for Image Denoising, [Paper], [Code]
• (arXiv 2023.04) EWT: Efficient Wavelet-Transformer for Single Image Denoising, [Paper]
• (arXiv 2023.04) NoiseTrans: Point Cloud Denoising with Transformers, [Paper]
• (arXiv 2023.05) RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Dataset, [Paper]
• (arXiv 2023.05) Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising, [Paper]
• (arXiv 2023.10) Physics-guided Noise Neural Proxy for Low-light Raw Image Denoising, [Paper]
• (arXiv 2023.10) A cross Transformer for image denoising, [Paper], [Code]
• (arXiv 2023.10) Complex Image Generation SwinTransformer Network for Audio Denoising, [Paper]
• (arXiv 2024.01) Denoising Vision Transformers, [Paper], [Code]
• (arXiv 2024.01) Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer, [Paper], [Code]
• (arXiv 2024.04) SGDFormer: One-stage Transformer-based Architecture for Cross-Spectral Stereo Image Guided Denoising, [Paper]
• (arXiv 2024.04) TBSN: Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising, [Paper], [Code]
• (arXiv 2024.07) Heterogeneous window transformer for image denoising, [Paper]
• (arXiv 2024.07) Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformer, [Paper], [Code]
• (arXiv 2024.08) A Practical Gated Recurrent Transformer Network Incorporating Multiple Fusions for Video Denoising, [Paper]
• (arXiv 2025.02) Residual Transformer Fusion Network for Salt and Pepper Image Denoising, [Paper]
• (arXiv 2025.06) Joint Denoising of Cryo-EM Projection Images using Polar Transformers, [Paper]