| P-PatchDiff: Progressive Patch Diffusion Models for Low-light Image Enhancement added by Syntology |
2026-09 (from id) |
RuoyuGuo/P-PatchDiff/BasicSR-light/basicsr/losses/loss_util.py 0dc0e03b0e6a68c2 |
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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/losses/loss_util.py cf63f8afc13f62a7 |
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| 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/losses/loss_util.py cf63f8afc13f62a7 |
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| FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning |
4 Jun 2025 |
liizhang/FedFACT/fedlearn/models/CGFFedclient.py bd068abd69022d0f |
ran · our draft was wrong
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| MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery |
23 May 2025 |
hainuo-wang/modem/basicsr/models/losses/loss_util.py cf63f8afc13f62a7 |
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| Progressive Focused Transformer for Single Image Super-Resolution |
26 Mar 2025 |
labshuhanggu/pft-sr/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
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| Visual Autoregressive Modeling for Image Super-Resolution |
31 Jan 2025 |
qyp2000/varsr/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| Auto-Encoded Supervision for Perceptual Image Super-Resolution |
28 Nov 2024 |
2minkyulee/aesop-auto-encoded-supervision-for-perceptual-image-super-resolution/AESOP/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
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| MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution |
26 Nov 2024 |
stella-von/MAT/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency |
25 Nov 2024 |
dixin-lab/bfvr-stc/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
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| ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction |
28 Oct 2024 |
LowlevelAI/ECMamba/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation |
24 Oct 2024 |
shallowdream204/dreamclear/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation |
10 Oct 2024 |
fudan-generative-vision/hallo2/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
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| Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model |
24 Aug 2024 |
chen-rao/vd-diff/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal |
21 Aug 2024 |
QMoQ/OAPT/oapt/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| EvTexture: Event-driven Texture Enhancement for Video Super-Resolution |
19 Jun 2024 |
DachunKai/EvTexture/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring |
11 Jun 2024 |
huicongzhang/bsstnet/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| Correlation Matching Transformation Transformers for UHD Image Restoration |
2 Jun 2024 |
supersupercong/uhdformer/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model |
16 May 2024 |
yongsongh/irsrmamba/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
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| Learning A Spiking Neural Network for Efficient Image Deraining |
10 May 2024 |
MingTian99/ESDNet/losses.py 67ac1ed0c8d15554 |
ran
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| Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution |
17 Apr 2024 |
mandalinadagi/wavelettention/wavelettention/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| Ship in Sight: Diffusion Models for Ship-Image Super Resolution |
27 Mar 2024 |
luigisigillo/shipinsight/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| Activating Wider Areas in Image Super-Resolution |
13 Mar 2024 |
arsenalcheng/mma/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| Efficient Image Deblurring Networks based on Diffusion Models |
11 Jan 2024 |
bnm6900030/swintormer/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy |
7 Jan 2024 |
xiangtaokong/mioir/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| Iterative Token Evaluation and Refinement for Real-World Super-Resolution |
9 Dec 2023 |
chaofengc/iter/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration |
28 Nov 2023 |
zhihefang/wf-diff/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model |
7 Aug 2023 |
srameo/led/led/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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| Dual Aggregation Transformer for Image Super-Resolution |
7 Aug 2023 |
zhengchen1999/dat/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| Exploiting Diffusion Prior for Real-World Image Super-Resolution |
11 May 2023 |
naagar/art_restoration_dm/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
MIT (permissive) |
| Human Guided Ground-truth Generation for Realistic Image Super-resolution |
23 Mar 2023 |
ChrisDud0257/HGGT/ImageEnhancement/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| Recursive Generalization Transformer for Image Super-Resolution |
11 Mar 2023 |
zhengchen1999/RGT/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution |
9 Mar 2023 |
wdmwhh/MRefSR/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders |
22 Dec 2022 |
piddnad/ddcolor/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| Recurrent Video Restoration Transformer with Guided Deformable Attention |
5 Jun 2022 |
labshuhanggu/mia-vsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| Blueprint Separable Residual Network for Efficient Image Super-Resolution |
12 May 2022 |
xiaom233/bsrn/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
MIT (permissive) |
| Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution |
27 Mar 2022 |
csjliang/DASR/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding |
28 Jan 2022 |
identical code first harvested elsewhere 365bded1dd42d919 |
unverified |
licence of this copy not recorded |
| EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection |
21 Dec 2021 |
happinesslz/epnetv2/lib/net/seg_utils.py 1cba2eaeeb7e3cad |
unverified |
MIT (permissive) |
| Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection |
9 Dec 2021 |
2gunsu/monocon-pytorch/losses/utils.py 768c0597a766ae51 |
unverified |
Apache-2.0 (permissive) |
| Learning Affinity-Aware Upsampling for Deep Image Matting |
29 Nov 2020 |
dongdong93/a2u_matting/scripts/trainval.py 5e90e36e1297ff63 |
ran · fixture could not drive it
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MIT (permissive) |
| Learning and Reasoning with the Graph Structure Representation in Robotic Surgery |
7 Jul 2020 |
mobarakol/Surgical_SceneGraph_Generation/evaluation_metrics.py 365bded1dd42d919 |
unverified |
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| Unifying distillation and privileged information |
11 Nov 2015 |
lopezpaz/distillation_privileged_information/code/sarcos.py 55c02f0770fe2193 |
ran · our draft was wrong
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| Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding |
9 Nov 2015 |
hosshonarvar/Image-Segmentation/others_code/evaluation_object.py 2dee72e12c7f0a5d |
unverified |
MIT (permissive) |
| arXiv:ijcai2024_0081 |
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JPWang-CS/FreqFormer/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| arXiv:aaai_32582 |
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Hankitle/PEIE/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
Apache-2.0 (permissive) |
| arXiv:aaai_28354 |
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W-JG/BPOSR/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
MIT (permissive) |
| arXiv:aaai_28342 |
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VUT-HFUT/EulerMormer/utils/utils.py b4dbdb2619a559b0 |
unverified |
MIT (permissive) |
| 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/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
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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/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
MIT (permissive) |
| arXiv:Kong_Efficient_Frequency_Domain-Based_Transformers_for_High-Quality_Image_Deblurring_CVPR_2023_paper |
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kkkls/FFTformer/basicsr/models/losses/loss_util.py cf63f8afc13f62a7 |
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MIT (permissive) |
| arXiv:Chao_Equivalent_Transformation_and_Dual_Stream_Network_Construction_for_Mobile_Image_CVPR_2023_paper |
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ECNUSR/ETDS/core/losses/loss_util.py b873cfe2f6901f47 |
unverified |
Apache-2.0 (permissive) |
| arXiv:136790177 |
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yuhuUSTC/FSDGN/basicsr/losses/loss_util.py cf63f8afc13f62a7 |
unverified |
MIT (permissive) |