| Restoring Without Forgetting: Continual Learning Across Image Degradations added by Syntology |
2026-08 (from id) |
AlifAshrafee/Restoring-Without-Forgetting/restormer/basicsr/models/lr_scheduler.py cd569444547de84f |
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| Joint Geometric and Trajectory Consistency Learning for One-Step Real-World Super-Resolution added by Syntology |
2026-02 (from id) |
Blazedengcy/GTASR/basicsr/models/lr_scheduler.py cd569444547de84f |
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MIT (permissive) |
| Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement added by Syntology |
2025-10 (from id) |
lyd-2022/Latent-Harmony/basicsr/models/lr_scheduler.py cd569444547de84f |
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| EAMamba: Efficient All-Around Vision State Space Model for Image Restoration |
27 Jun 2025 |
daidaijr/EAMamba/models/util/lr_scheduler.py b15f366999309de4 |
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| MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery |
23 May 2025 |
hainuo-wang/modem/basicsr/models/lr_scheduler.py cd569444547de84f |
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MIT (permissive) |
| Progressive Focused Transformer for Single Image Super-Resolution |
26 Mar 2025 |
labshuhanggu/pft-sr/basicsr/models/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency |
25 Nov 2024 |
dixin-lab/bfvr-stc/basicsr/models/lr_scheduler.py cd569444547de84f |
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| ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction |
28 Oct 2024 |
LowlevelAI/ECMamba/basicsr/models/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration |
20 Oct 2024 |
shallowdream204/lora-ir/basicsr/models/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation |
10 Oct 2024 |
fudan-generative-vision/hallo2/basicsr/models/lr_scheduler.py cd569444547de84f |
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MIT (permissive) |
| DAVIDE: Depth-Aware Video Deblurring |
2 Sep 2024 |
germanftv/DAVIDE-Benckmark/basicsr/models/lr_scheduler.py cd569444547de84f |
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MIT (permissive) |
| Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model |
24 Aug 2024 |
chen-rao/vd-diff/basicsr/models/lr_scheduler.py cd569444547de84f |
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MIT (permissive) |
| HAIR: Hypernetworks-based All-in-One Image Restoration |
15 Aug 2024 |
toummHus/HAIR/utils/schedulers.py cd569444547de84f |
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| SUMix: Mixup with Semantic and Uncertain Information |
10 Jul 2024 |
jinxins/sumix/openmixup/core/hooks/addtional_scheduler.py b46e88c7adaa8b7b |
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MIT (permissive) |
| EvTexture: Event-driven Texture Enhancement for Video Super-Resolution |
19 Jun 2024 |
DachunKai/EvTexture/basicsr/models/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network |
12 Jun 2024 |
cnyvfang/CORUN-Colabator/corun_colabator/models/lr_scheduler.py cd569444547de84f |
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| Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring |
11 Jun 2024 |
huicongzhang/bsstnet/basicsr/models/lr_scheduler.py cd569444547de84f |
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| Binarized Diffusion Model for Image Super-Resolution |
9 Jun 2024 |
zhengchen1999/BI-DiffSR/diffglv/utils/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method |
27 May 2024 |
cschenxiang/udr-mixer/codes/utils/schedulers.py cd569444547de84f |
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| IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model |
16 May 2024 |
yongsongh/irsrmamba/basicsr/models/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement |
6 May 2024 |
YhuoyuH/RetinexMamba/basicsr/models/lr_scheduler.py cd569444547de84f |
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MIT (permissive) |
| Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution |
17 Apr 2024 |
mandalinadagi/wavelettention/wavelettention/basicsr/models/lr_scheduler.py cd569444547de84f |
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| FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining |
15 Apr 2024 |
asleepytree/freqmamba/models/lr_scheduler_for_mamba.py cd569444547de84f |
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| Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution |
7 Apr 2024 |
guangyuankk/diffmsr/DiffMSR_Main/models/lr_scheduler.py cd569444547de84f |
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| Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration |
2 Apr 2024 |
akshaydudhane16/dynet/utils/schedulers.py cd569444547de84f |
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MIT (permissive) |
| AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation |
21 Mar 2024 |
c-yn/adair/utils/schedulers.py cd569444547de84f |
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MIT (permissive) |
| VmambaIR: Visual State Space Model for Image Restoration |
18 Mar 2024 |
alphacatplus/vmambair/RealSR/VmambaIR/models/lr_scheduler.py cd569444547de84f |
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| Activating Wider Areas in Image Super-Resolution |
13 Mar 2024 |
arsenalcheng/mma/basicsr/models/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| CascadedGaze: Efficiency in Global Context Extraction for Image Restoration |
26 Jan 2024 |
Ascend-Research/CascadedGaze/basicsr/models/lr_scheduler.py cd569444547de84f |
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MIT (permissive) |
| Efficient Image Deblurring Networks based on Diffusion Models |
11 Jan 2024 |
bnm6900030/swintormer/basicsr/models/lr_scheduler.py cd569444547de84f |
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| Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy |
7 Jan 2024 |
xiangtaokong/mioir/basicsr/models/lr_scheduler.py cd569444547de84f |
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| Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring |
29 Dec 2023 |
thqiu0419/mlwnet/basicsr/models/lr_scheduler.py cd569444547de84f |
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| Iterative Token Evaluation and Refinement for Real-World Super-Resolution |
9 Dec 2023 |
chaofengc/iter/basicsr/models/lr_scheduler.py cd569444547de84f |
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| Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration |
28 Nov 2023 |
zhihefang/wf-diff/basicsr/models/lr_scheduler.py cd569444547de84f |
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| Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model |
20 Nov 2023 |
chunminghe/reti-diff/Reti-Diff/models/lr_scheduler.py cd569444547de84f |
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| Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations |
31 Oct 2023 |
tju-chengyijia/vd_raw/basicsr/models/lr_scheduler.py cd569444547de84f |
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| A Comparative Study of Image Restoration Networks for General Backbone Network Design |
18 Oct 2023 |
andrew0613/x-restormer/xrestormer/models/restormer_model.py cd569444547de84f |
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MIT (permissive) |
| Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method |
25 Sep 2023 |
LIUTIGHE/BSCV-Dataset/core/lr_scheduler.py d97e6197d75c3ff9 |
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| MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing |
27 Aug 2023 |
fvl2020/iccv-2023-mb-taylorformer/basicsr/models/lr_scheduler.py cd569444547de84f |
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| Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model |
7 Aug 2023 |
srameo/led/led/models/lr_scheduler.py cd569444547de84f |
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| Dual Aggregation Transformer for Image Super-Resolution |
7 Aug 2023 |
zhengchen1999/dat/basicsr/models/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| Hierarchical Integration Diffusion Model for Realistic Image Deblurring |
22 May 2023 |
zhengchen1999/HI-Diff/hi_diff/utils/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| Human Guided Ground-truth Generation for Realistic Image Super-resolution |
23 Mar 2023 |
ChrisDud0257/HGGT/ImageEnhancement/basicsr/models/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching |
20 Mar 2023 |
dongliangcao/Self-Supervised-Multimodal-Shape-Matching/models/lr_scheduler.py cd569444547de84f |
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MIT (permissive) |
| Recursive Generalization Transformer for Image Super-Resolution |
11 Mar 2023 |
zhengchen1999/RGT/basicsr/models/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| KBNet: Kernel Basis Network for Image Restoration |
6 Mar 2023 |
zhangyi-3/kbnet/basicsr/models/lr_scheduler.py cd569444547de84f |
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MIT (permissive) |
| Unsupervised Deep Multi-Shape Matching |
20 Jul 2022 |
dongliangcao/Unsupervised-Deep-Multi-Shape-Matching/models/lr_scheduler.py cd569444547de84f |
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MIT (permissive) |
| Blueprint Separable Residual Network for Efficient Image Super-Resolution |
12 May 2022 |
xiaom233/bsrn/basicsr/models/lr_scheduler.py cd569444547de84f |
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MIT (permissive) |
| Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining |
20 Apr 2022 |
Westlake-AI/OpenBioSeq/openbioseq/core/hooks/addtional_scheduler.py b46e88c7adaa8b7b |
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Apache-2.0 (permissive) |
| Simple Baselines for Image Restoration |
10 Apr 2022 |
murufeng/FUIR/basicsr/models/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| Vector-quantized Image Modeling with Improved VQGAN |
9 Oct 2021 |
CuddleSabe/VQGAN/VQGAN/models/lr_scheduler.py cd569444547de84f |
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| arXiv:ijcai2024_0081 |
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JPWang-CS/FreqFormer/basicsr/models/lr_scheduler.py cd569444547de84f |
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| arXiv:aaai_32582 |
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Hankitle/PEIE/basicsr/models/lr_scheduler.py cd569444547de84f |
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Apache-2.0 (permissive) |
| arXiv:aaai_28354 |
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W-JG/BPOSR/basicsr/models/lr_scheduler.py cd569444547de84f |
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| arXiv:Zheng_Efficient_Video_Super-Resolution_for_Real-time_Rendering_with_Decoupled_G-buffer_Guidance_CVPR_2025_paper |
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sunny2109/RDG/basicsr/models/lr_scheduler.py cd569444547de84f |
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| arXiv:Roetzer_SpiderMatch_3D_Shape_Matching_with_Global_Optimality_and_Geometric_Consistency_CVPR_2024_paper |
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paul0noah/spider-match/models/lr_scheduler.py cd569444547de84f |
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| arXiv:Pan_Deep_Discriminative_Spatial_and_Temporal_Network_for_Efficient_Video_Deblurring_CVPR_2023_paper |
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xuboming8/DSTNet/basicsr/models/lr_scheduler.py cd569444547de84f |
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| arXiv:Kong_Efficient_Frequency_Domain-Based_Transformers_for_High-Quality_Image_Deblurring_CVPR_2023_paper |
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kkkls/FFTformer/basicsr/models/lr_scheduler.py cd569444547de84f |
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| arXiv:136790177 |
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yuhuUSTC/FSDGN/basicsr/models/lr_scheduler.py cd569444547de84f |
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