https://github.com/meijitian/zs-denoisier-hrem
공식 코드Zero-Shot Image Denoising for High-Resolution Electron Microscopy
Papers with Code 아카이브
3D Object Super-Resolution
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3D object super-resolution is the task of up-sampling 3D objects.
<span style="color:grey; opacity: 0.6">( Image credit: Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/melaseddik/GCN
공식 코드Generative Collaborative Networks for Single Image Super-Resolution
https://github.com/mengxiangming/dmps
공식 코드Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
https://github.com/merlresearch/SteeredDiffusion
공식 코드Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis
https://github.com/mhamilton723/FeatUp
공식 코드FeatUp: A Model-Agnostic Framework for Features at Any Resolution
https://github.com/michaeltrs/deepsatmodels
공식 코드Context-self contrastive pretraining for crop type semantic segmentation
https://github.com/miclab-unicamp/fod-swin-net
공식 코드https://github.com/microsoft/vsr-challenge
공식 코드ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencing
https://github.com/microsoft/xpretrain
공식 코드Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions
https://github.com/minar09/awesome-virtual-try-on
공식 코드https://github.com/mindslab-ai/nuwave
공식 코드NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
https://github.com/mindslab-ai/nuwave2
공식 코드NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates
https://github.com/mindspore-lab/mindediting
공식 코드Tunable Convolutions with Parametric Multi-Loss Optimization
https://github.com/ming053l/csakd
공식 코드https://github.com/ming053l/drct
공식 코드DRCT: Saving Image Super-resolution away from Information Bottleneck
https://github.com/minghanz/trafcam_3d
공식 코드Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography
https://github.com/minshu-kim/nis
공식 코드https://github.com/miracle-center/ctspine1k
공식 코드CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
https://github.com/mirthai/fast-ddpm
공식 코드Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation
https://github.com/mirthai/gdm-ve
공식 코드Geodesic Diffusion Models for Medical Image-to-Image Generation
https://github.com/mit-han-lab/efficientvit
공식 코드EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction
https://github.com/mjq11302010044/TPGSR
공식 코드https://github.com/mjq11302010044/real-ce
공식 코드A Benchmark for Chinese-English Scene Text Image Super-resolution
https://github.com/mjq11302010044/tatt
공식 코드A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution
https://github.com/ml-postech/lisa
공식 코드Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution
https://github.com/mli-lab/scaling_laws_for_deep_learning_based_image_reconstruction
공식 코드https://github.com/mlvlab/davi
공식 코드Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
https://github.com/mmafrasiabi/comsr
공식 코드Combination of Single and Multi-frame Image Super-resolution: An Analytical Perspective
https://github.com/mmendiet/gfm
공식 코드Towards Geospatial Foundation Models via Continual Pretraining
https://github.com/mmmings/granular-dq
공식 코드https://github.com/mnster00/geosr
공식 코드City Scene Super-Resolution via Geometric Error Minimization
https://github.com/monaen/LightFieldReconstruction
공식 코드High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
https://github.com/moonsofang/ntire-2025-srlab
공식 코드Enhanced Semantic Extraction and Guidance for UGC Image Super Resolution
https://github.com/morefre/decoupled-data-consistency-with-diffusion-purification-for-image-restoration
공식 코드Decoupled Data Consistency with Diffusion Purification for Image Restoration
https://github.com/moremnas/MoreMNAS
공식 코드Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search
https://github.com/mosaf/res-srdiff
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.