Papers with Code 아카이브
Image Rescaling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 48
Image rescaling is a bidirectional operation, which first downscales high-resolution images to fit various display screens or to be storage- and bandwidth-friendly, and afterward upscales the corresponding low-resolution images to recover the original resolution or the details in the zoom-in images.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/abnervictor/hyperthumbnail
공식 코드Real-time 6K Image Rescaling with Rate-distortion Optimization
https://github.com/donkeymouse/thermalchameleon
공식 코드Thermal Chameleon: Task-Adaptive Tone-mapping for Radiometric Thermal-Infrared images
https://github.com/jingyunliang/hcflow
공식 코드Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
https://github.com/pkuxmq/Invertible-Image-Rescaling
공식 코드https://github.com/yang-jin-hai/sain
공식 코드Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
https://github.com/2023-MindSpore-4/Code-5/tree/main/IRN
https://github.com/Ash-Lee233/IRN
https://github.com/JoegameZhou/ms-irn
https://github.com/LCM1999/VolumeRescaling
https://github.com/Mind23-2/MindCode-101/tree/main/IRN
https://github.com/Mind23-2/MindCode-3/tree/main/IRN
https://github.com/andreasfloros/IRN
https://github.com/code-implementation1/Code4/tree/main/IRN
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network
https://github.com/jiean001/models_m/tree/main/IRN
https://github.com/jingwei-bao/t-invblocks
Plug-and-Play Tri-Branch Invertible Block for Image Rescaling
https://github.com/mindspore-ai/models/tree/master/research/cv/IRN
https://github.com/smc-x/ms-irn
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.