https://github.com/xinyiying/mocopnet
공식 코드Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Super-Resolution
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/xiuheng-wang/Deep_gradient_HSI_superresolution
공식 코드Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion
https://github.com/xiuheng-wang/Sylvester_TSFN_MDC_HSI_superresolution
공식 코드Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter Estimation
https://github.com/xjtu-xgu/otcs
공식 코드Optimal Transport-Guided Conditional Score-Based Diffusion Models
https://github.com/xl-tang3/RCOT
공식 코드https://github.com/xmindflow/INCODE
공식 코드INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings
https://github.com/xpixelgroup/diffbir
공식 코드DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
https://github.com/xpixelgroup/hat
공식 코드Activating More Pixels in Image Super-Resolution Transformer
https://github.com/xpixelgroup/rethinkvsralignment
공식 코드https://github.com/xpixelgroup/seal
공식 코드SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
https://github.com/xtudbxk/tmp
공식 코드TMP: Temporal Motion Propagation for Online Video Super-Resolution
https://github.com/xuefusiji/badrefsr
공식 코드BadRefSR: Backdoor Attacks Against Reference-based Image Super Resolution
https://github.com/xuhaoan/fetalmotionassess
공식 코드https://github.com/xuxy09/RSC-Net
공식 코드3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning
https://github.com/xuxy09/RawSR
공식 코드https://github.com/xy-boy/blind-satellite-vsr
공식 코드https://github.com/xy-boy/ediffsr
공식 코드EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
https://github.com/xy-boy/lgtd
공식 코드Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
https://github.com/xy-boy/tdmvsr
공식 코드Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
https://github.com/xylgroup/mlmc
공식 코드Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation
https://github.com/xylonxu01/tfs-diff
공식 코드Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model
https://github.com/xzwlx/Difficulty-SR
공식 코드Difficulty-aware Image Super Resolution via Deep Adaptive Dual-Network
https://github.com/yairbs/Self-STORM
공식 코드Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution Microscopy
https://github.com/yandex-research/ddpm-segmentation
공식 코드https://github.com/yandex-research/distill-nf
공식 코드https://github.com/yandex-research/gan_vs_diff_sr
공식 코드https://github.com/yang-jin-hai/sain
공식 코드Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
https://github.com/yangbincheng/emsrdpn
공식 코드Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning
https://github.com/yangxy/pasd
공식 코드Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
https://github.com/yangyanggirl/bos
공식 코드Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments
https://github.com/yangzhou12/ncrl
공식 코드None Class Ranking Loss for Document-Level Relation Extraction
https://github.com/yanllan-ljb/contrastivegaussian
공식 코드ContrastiveGaussian: High-Fidelity 3D Generation with Contrastive Learning and Gaussian Splatting
https://github.com/yanzq95/dornet
공식 코드Degradation Oriented and Regularized Network for Blind Depth Super-Resolution
https://github.com/yanzq95/sgnet
공식 코드SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution
https://github.com/yaozzz666/dscf-sr
공식 코드Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-Resolution
https://github.com/yasminzhang/ictm
공식 코드Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.