https://github.com/usman1021/fusion
공식 코드A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution
Papers with Code 아카이브
3D Object Super-Resolution
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
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/usman1021/lightweight
공식 코드https://github.com/ustc-imcl/hst-for-compressed-image-sr
공식 코드HST: Hierarchical Swin Transformer for Compressed Image Super-resolution
https://github.com/valfride/lpr-rsr
공식 코드Combining Attention Module and Pixel Shuffle for License Plate Super-Resolution
https://github.com/valfride/lpr-rsr-ext
공식 코드Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers
https://github.com/valfride/lpsr-lacd
공식 코드Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven Approach
https://github.com/valfride/lpsrgan
공식 코드Toward Advancing License Plate Super-Resolution in Real-World Scenarios: A Dataset and Benchmark
https://github.com/vb000/neuricam
공식 코드NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
https://github.com/vdeborto/cdsb
공식 코드https://github.com/vduruiss/sropnet
공식 코드An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific Simulations
https://github.com/vganapati/led_pvae
공식 코드https://github.com/vibss2397/Real-Time-Super-Resolution-For-Microscopic-Images-Using-GAN
공식 코드Attaining Real-Time Super-Resolution for Microscopic Images Using GAN
https://github.com/victor-nasc/Vehicle-Counting
공식 코드https://github.com/vijulshah/webcam-based-pupil-diameter-estimation
공식 코드Webcam-based Pupil Diameter Prediction Benefits from Upscaling
https://github.com/vinhyu/coser
공식 코드CoSeR: Bridging Image and Language for Cognitive Super-Resolution
https://github.com/vios-s/CMRxRECON_Challenge_EDIPO
공식 코드Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement
https://github.com/vipgugr/CADUF
공식 코드Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution
https://github.com/vishwa91/deepir
공식 코드https://github.com/visinf/n3net
공식 코드https://github.com/vision4robotics/ad2attack
공식 코드Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking
https://github.com/vision4robotics/anytsr
공식 코드https://github.com/visioniclab/swinfusr
공식 코드SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolution
https://github.com/visionresearchlab/synthset
공식 코드SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture
https://github.com/vivjay30/pnf-sampling
공식 코드Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
https://github.com/voilalab/inr-benchmark
공식 코드https://github.com/volflow/DeFlow
공식 코드DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
https://github.com/voyleg/perceptual-depth-sr
공식 코드https://github.com/vrkh1996/IPU-Net
공식 코드https://github.com/vsantjr/dl_blindsr
공식 코드https://github.com/vsantjr/ideeps
공식 코드https://github.com/w-shuoyan/evenhancer
공식 코드https://github.com/waleedgondal/Texture-based-Super-Resolution-Network
공식 코드The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution
https://github.com/wangya22/I3SB
공식 코드Implicit Image-to-Image Schrodinger Bridge for Image Restoration
https://github.com/wcy-cs/fishfsrnet
공식 코드https://github.com/wdmwhh/MRefSR
공식 코드LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
https://github.com/weiyithu/FGR
공식 코드FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.