Papers with Code 아카이브
Inverse-Tone-Mapping
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JungHeeKim29/DiffHDRsyn
공식 코드End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images
https://github.com/aamir-mustafa/distil_style
공식 코드Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping
https://github.com/alex04072000/SingleHDR
공식 코드Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
https://github.com/andreguo/hdrtvdm
공식 코드Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models
https://github.com/andreguo/itmlut
공식 코드Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Display
https://github.com/bcjuan/itmmqnet
공식 코드A Mixed Quantization Network for Computationally Efficient Mobile Inverse Tone Mapping
https://github.com/chxy95/HDRUNet
공식 코드HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization
https://github.com/chxy95/hdrtvnet
공식 코드https://github.com/cs-gangxu/fdan
공식 코드https://github.com/frozenburning/text2light
공식 코드https://github.com/gabrieleilertsen/hdrcnn
공식 코드HDR image reconstruction from a single exposure using deep CNNs
https://github.com/lwt3437/lanet
공식 코드Luminance Attentive Networks for HDR Image and Panorama Reconstruction
https://github.com/mantiuk/pwcmp
공식 코드HDR image reconstruction from a single exposure using deep CNNs
https://github.com/mdyao/csnorm
공식 코드Generalized Lightness Adaptation with Channel Selective Normalization
https://github.com/sharif-apu/twostageHDR_NTIRE21
공식 코드A Two-stage Deep Network for High Dynamic Range Image Reconstruction
https://github.com/sooyekim/Deep-SR-ITM
공식 코드Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
https://github.com/thisisvikki/itm-baseline
공식 코드Lightweight Improved Residual Network for Efficient Inverse Tone Mapping
https://github.com/MindSpore-scientific/code-13/tree/main/Luminance-Guided-Chrominance-Enhancement-for-HEVC-Intra-Coding
Luminance Attentive Networks for HDR Image and Panorama Reconstruction
https://github.com/Siyeong-Lee/Deep_Recursive_HDRI
https://github.com/dmarnerides/hdr-expandnet
https://github.com/shleecs/DrTMO_unofficial_pytorch
https://github.com/skchen1993/2023_CEVR
Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction
https://github.com/tattaka/unsupervised-hdr-imaging
Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?
https://github.com/wanghu178/KUNet
https://github.com/xypu98/two-stage-HDR-video
A Two-stage Deep Network for High Dynamic Range Image Reconstruction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.