https://github.com/yaziwel/all-in-one-medical-image-restoration-via-task-adaptive-routing
공식 코드All-In-One Medical Image Restoration via Task-Adaptive Routing
Papers with Code 아카이브
Super-Resolution
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 1
- 보존된 평가 기록
- 1
Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.
<span style="color:grey; opacity: 0.6">( Credit: MemNet )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yaziwel/region-attention-transformer-for-medical-image-restoration
공식 코드https://github.com/yaziwel/restore-rwkv
공식 코드Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
https://github.com/ychfan/nsr
공식 코드https://github.com/ychfan/scn
공식 코드https://github.com/yebulabula/disc-diff
공식 코드DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
https://github.com/yerfor/Real3DPortrait
공식 코드Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis
https://github.com/yggame/mgdun
공식 코드Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction
https://github.com/yi-yang355/frfsr
공식 코드A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution
https://github.com/yifita/3PU_pytorch
공식 코드https://github.com/yimingliu123/fasr-net
공식 코드Flexible Alignment Super-Resolution Network for Multi-Contrast MRI
https://github.com/yinboc/liif
공식 코드Learning Continuous Image Representation with Local Implicit Image Function
https://github.com/yingqianwang/lf-danet
공식 코드Real-World Light Field Image Super-Resolution via Degradation Modulation
https://github.com/yingqianwang/lf-dmnet
공식 코드Real-World Light Field Image Super-Resolution via Degradation Modulation
https://github.com/yingutk/u2MDN
공식 코드Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
https://github.com/yinzhicun/metaf2n
공식 코드MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
https://github.com/yjsunnn/fbanet
공식 코드Towards Real-World Burst Image Super-Resolution: Benchmark and Method
https://github.com/ykshi/DDet
공식 코드DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution
https://github.com/yongliuy/ditn
공식 코드Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution
https://github.com/yongliuy/patchscaler
공식 코드PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution
https://github.com/yongsongh/aidsrgan-miccai2022
공식 코드Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN
https://github.com/yongsongh/dasrgan
공식 코드Texture and Noise Dual Adaptation for Infrared Image Super-Resolution
https://github.com/yongsongh/infrared_image_sr_survey
공식 코드Infrared Image Super-Resolution: Systematic Review, and Future Trends
https://github.com/yongsongh/irsrmamba
공식 코드https://github.com/younggeun-kim/NCSR
공식 코드Noise Conditional Flow Model for Learning the Super-Resolution Space
https://github.com/yoyololicon/diffwave-sr
공식 코드Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution
https://github.com/yuan-yutao/ecdp
공식 코드Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution
https://github.com/yuanyunshuang/fpv_rcnn
공식 코드Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving
https://github.com/yuanzhengthu/handDrawnPAAImages
공식 코드Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodles
https://github.com/yuanzhi-zhu/diffpir
공식 코드Denoising Diffusion Models for Plug-and-Play Image Restoration
https://github.com/yuanzhi-zhu/oftsr
공식 코드OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
https://github.com/yuehan717/pdasr
공식 코드Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution
https://github.com/yuehan717/pdd
공식 코드Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution
https://github.com/yuehan717/realviformer
공식 코드RealViformer: Investigating Attention for Real-World Video Super-Resolution
https://github.com/yuezijie/stinet-space-time-video-super-resolution
공식 코드Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction
https://github.com/yuki-11/csbsr
공식 코드Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.