mlsanityData to 7 Oct 2026

A New Journey from SDRTV to HDRTV

arXiv 2108.07978 ↗First posted 18 Aug 2021eess.IV cs.CVcited by 30

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Abstract (arXiv)

Nowadays modern displays are capable to render video content with high dynamic range (HDR) and wide color gamut (WCG). However, most available resources are still in standard dynamic range (SDR). Therefore, there is an urgent demand to transform existing SDR-TV contents into their HDR-TV versions. In this paper, we conduct an analysis of SDRTV-to-HDRTV task by modeling the formation of SDRTV/HDRTV content. Base on the analysis, we propose a three-step solution pipeline including adaptive global color mapping, local enhancement and highlight generation. Moreover, the above analysis inspires us to present a lightweight network that utilizes global statistics as guidance to conduct image-adaptive color mapping. In addition, we construct a dataset using HDR videos in HDR10 standard, named HDRTV1K, and select five metrics to evaluate the results of SDRTV-to-HDRTV algorithms. Furthermore, our final results achieve state-of-the-art performance in quantitative comparisons and visual quality. The code and dataset are available at https://github.com/chxy95/HDRTVNet.

Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). Builds on 18 of its 39 references that are in the map. First posted on arXiv 18 Aug 2021.

Builds on

18 of 39 references.

References · 18

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  4. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  5. 2015Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classificationcited by 3,590
  6. 2016Identity Mappings in Deep Residual Networkscited by 1,960
  7. 2016Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Networkcited by 1,199
  8. 2018Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transformcited by 369
  9. 2016A Learned Representation For Artistic Stylecited by 340
  10. 2017Deep Bilateral Learning for Real-Time Image Enhancementcited by 200
  11. 2017HDR image reconstruction from a single exposure using deep CNNscited by 167
  12. 2020Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-timecited by 163
6 more
  1. 2020Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipelinecited by 131
  2. 2020Conditional Sequential Modulation for Efficient Global Image Retouchingcited by 71
  3. 2021HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantizationcited by 58
  4. 2019Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applicationscited by 39
  5. 2019JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Videocited by 31
  6. 2021Very Lightweight Photo Retouching Network with Conditional Sequential Modulationcited by 14

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 7; 2023: 8; 2024: 5; 2025: 4; 2026: 6.

30 papers.

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  1. 2024Learning A Low-Level Vision Generalist via Visual Task Promptcited by 18
  2. 2025Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Visioncited by 14
  3. 2023Under-Display Camera Image Restoration with Scattering Effectcited by 12
  4. 2022UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic Networkcited by 11
  5. 2022Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Reportcited by 11
  6. 2023Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Modelscited by 11
  7. 2023HIDRO-VQA: High Dynamic Range Oracle for Video Quality Assessmentcited by 7
  8. 2022Distilling Style from Image Pairs for Global Forward and Inverse Tone Mappingcited by 5
  9. 2022Towards Real World HDRTV Reconstruction: A Data Synthesis-based Approachcited by 4
  10. 2023Generalized Lightness Adaptation with Channel Selective Normalizationcited by 4
  11. 2023ArtHDR-Net: Perceptually Realistic and Accurate HDR Content Creationcited by 4
  12. 2023Towards Efficient SDRTV-to-HDRTV by Learning from Image Formationcited by 4
18 more
  1. 2024HDRT: A Large-Scale Dataset for Infrared-Guided HDR Imagingcited by 4
  2. 2025Exploring Scalable Unified Modeling for General Low-Level Visioncited by 4
  3. 2025Lightweight and Fast Real-time Image Enhancement via Decomposition of the Spatial-aware Lookup Tablescited by 4
  4. 2022Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmarkcited by 3
  5. 2022DeepHS-HDRVideo: Deep High Speed High Dynamic Range Video Reconstructioncited by 3
  6. 2024HistoHDR-Net: Histogram Equalization for Single LDR to HDR Image Translationcited by 3
  7. 2022Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mappingcited by 2
  8. 2024Beyond Feature Mapping GAP: Integrating Real HDRTV Priors for Superior SDRTV-to-HDRTV Conversioncited by 2
  9. 2026HDR Video Generation via Latent Alignment with Logarithmic Encodingcited by 2
  10. 2023Lightweight Improved Residual Network for Efficient Inverse Tone Mappingcited by 0
  11. 2023Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Displaycited by 0
  12. 2024A Cycle Ride to HDR: Semantics Aware Self-Supervised Framework for Unpaired LDR-to-HDR Image Reconstructioncited by 0
  13. 2025RealRep: Generalized SDR-to-HDR Conversion via Attribute-Disentangled Representation Learningcited by 0
  14. 2026Wavelet-Domain Masked Image Modeling for Color-Consistent HDR Video Reconstructioncited by 0
  15. 2026LumaFlux: Lifting 8-Bit Worlds to HDR Reality with Physically-Guided Diffusion Transformerscited by 0
  16. 2026Generating HDR Video from SDR Videocited by 0
  17. 2026Bio-SFT: Asymmetric Cortical Guidance and Retinal Adaptation for Robust HDR Reconstructioncited by 0
  18. 2026Geometric Similarity in VLM Low-Level Vision Representationscited by 0