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AndreGuo/README.md

Cheng Guo (้ƒญ้“–/Andre) ๐Ÿ‘‹

  • ๐Ÿ“• Research interests:

HDR (High Dynamic Range), Inverse Tone-mapping, Tone-mapping, WCG (Wide Color Gamut), Gamut Mapping, IQA (Iamge Quality Assessment)

  • ๐Ÿ“ซ Concact:

[email protected], [email protected], [email protected]

  • ๐Ÿ”ญ Education:

2020-2024: Ph.D. at State Key Laboratory of Media Convergence and Communication (MCC), Communication University of China (CUC), Beijing, China

2022-2024: Visiting student at Deprtment of Media and Interaction, Peng Cheng Laboratory (PCL), Shenzhen, China

  • ๐ŸŒฑ Current occupation:

2024-now: Dispaly algorithm engeneer (mini-LED, image quality) at TCL electronics, TV manufacturer.

Main Projects

1. ITM, inverse tone-mapping (SDR image to HDR/WCG):

๐Ÿ”ญ CVPR2023

(Project: HDRTVDM; Model: LSN; Dataset: HDRTV4K):

Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models

  • A luminance segmented network (LSN) AI model with channel decoupled self-attention, for inverse tone-mapping.
  • New HDRTV4K training set and test set (SDR-HDR/WCG image pairs).
  • New subjective metrics and objective assessment method on inverse tone-mapped HDR/WCG content.

๐Ÿ”ญ CVMP2023:

(Model/Algorithm: ITM-LUT, plus an overview of AI-3D-LUT algorithms):

Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Display

An efficient AI inverse tone-mapping for edge devices:

  • AI learning of look-up table (LUT) content, and self-adaptability (LUT content will alter with input image) by the AI merging of basic LUTs.
  • Run with fewer LUT size on higher-bit-depth (10/12bit) HDR/WCG, by discriminative non-uniform sampling of 3 smaller LUTs.

2. SI-HDR, single-image HDR reconstruction (SDR to HDR luminance)

๐Ÿ”ญ ACCV2022:

(Model/Algorithm: LHDR):

LHDR: HDR Reconstruction for Legacy Content Using a Lightweight DNN

  • An AI model for single-image HDR reconstruction, with partial convolution and condition.
  • Lightweight design using mixed precision of network parameters etc.

3. TM, tone-mapping (HDR luminance to commom SDR image)

๐Ÿ”ญ IEEE Access 2021:

Deep Tone-Mapping Operator Using Image Quality Assessment Inspired Semi-Supervised Learning

(Model/Algorithm: IQATM):

  • An AI model for tone-mapping, with Laplacian Pyramid decomposition.
  • Introducing IQA (image quality assessment) concept and metrics to unsupervised and semi-supervised training.

Popular repositories Loading

  1. HDRTVDM HDRTVDM Public

    The official repo of "Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models" in CVPR2023.

    Python 52 5

  2. ITMLUT ITMLUT Public

    Official PyTorch implementation of "Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Display" in CVMP2023 (SIGGRAPH European Conference on Visual Media Prodโ€ฆ

    C++ 45 3

  3. LHDR LHDR Public

    The official PyTorch implementation of paper 'LHDR: HDR Reconstruction for Legacy Content using a Lightweight DNN' in ACCV2022.

    Python 7 2

  4. IQATM IQATM Public

    The official Tensorflow implementation of paper 'Deep Tone-mapping Operator Using Image Quality Assessment Inspired Semi-supervised Learning' in IEEE ACCESS.

    Python 5 5

  5. MATLAB_utils MATLAB_utils Public

    MATLAB 4

  6. andreguo andreguo Public

    1