Yihao Liu

Orcid: 0000-0001-9874-0602

Affiliations:
  • Shenzhen Institute of Advanced Technology, CAS, China


According to our database1, Yihao Liu authored at least 53 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Efficient HDR Reconstruction From Real-World Raw Images.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2026

Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models.
CoRR, May, 2026

StableI2I: Spotting Unintended Changes in Image-to-Image Transition.
CoRR, May, 2026

InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing.
CoRR, March, 2026

Accelerating Masked Image Generation by Learning Latent Controlled Dynamics.
CoRR, February, 2026

Training-Free Acceleration for Document Parsing Vision-Language Model with Hierarchical Speculative Decoding.
CoRR, February, 2026

2025
UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture.
CoRR, December, 2025

dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models.
CoRR, December, 2025

PICABench: How Far Are We from Physically Realistic Image Editing?
CoRR, October, 2025

OmniQuality-R: Advancing Reward Models Through All-Encompassing Quality Assessment.
CoRR, October, 2025

LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution.
CoRR, October, 2025

Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding.
CoRR, October, 2025

Factuality Matters: When Image Generation and Editing Meet Structured Visuals.
CoRR, October, 2025

Exploring Scalable Unified Modeling for General Low-Level Vision.
CoRR, July, 2025

ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding.
CoRR, July, 2025

DualX-VSR: Dual Axial Spatial⨉Temporal Transformer for Real-World Video Super-Resolution without Motion Compensation.
CoRR, June, 2025

Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision.
CoRR, April, 2025

DiffVSR: Enhancing Real-World Video Super-Resolution with Diffusion Models for Advanced Visual Quality and Temporal Consistency.
CoRR, January, 2025

Towards Efficient SDRTV-to-HDRTV by Learning From Image Formation.
IEEE Trans. Multim., 2025

Learning to See Low-Light Images via Feature Domain Adaptation.
IEEE Trans. Image Process., 2025

Learning Differential Pyramid Representation for Tone Mapping.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Temporally consistent video colorization with deep feature propagation and self-regularization learning.
Comput. Vis. Media, April, 2024

AdaptBIR: Adaptive Blind Image Restoration with latent diffusion prior for higher fidelity.
Pattern Recognit., 2024

A Preliminary Exploration Towards General Image Restoration.
CoRR, 2024

Learning A Low-Level Vision Generalist via Visual Task Prompt.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unifying Image Processing as Visual Prompting Question Answering.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Comparative Study of Image Restoration Networks for General Backbone Network Design.
Proceedings of the Computer Vision - ECCV 2024, 2024

GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Evaluating the Generalization Ability of Super-Resolution Networks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Two-branch crisscross network for realistic and accurate image super-resolution.
Displays, December, 2023

CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Blind Image Super-Resolution: A Survey and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Very Lightweight Photo Retouching Network With Conditional Sequential Modulation.
IEEE Trans. Multim., 2023

Masked Image Training for Generalizable Deep Image Denoising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DegAE: A New Pretraining Paradigm for Low-Level Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Interactive Multi-Dimension Modulation for Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm.
CoRR, 2022

A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Discovering "Semantics" in Super-Resolution Networks.
CoRR, 2021

Color2Style: Real-Time Exemplar-Based Image Colorization with Self-Reference Learning and Deep Feature Modulation.
CoRR, 2021

Learn to Match: Automatic Matching Network Design for Visual Tracking.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

HDRUNet: Single Image HDR Reconstruction With Denoising and Dequantization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Residual and Dense UNet for Under-Display Camera Restoration.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


Enhanced Quadratic Video Interpolation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Conditional Sequential Modulation for Efficient Global Image Retouching.
Proceedings of the Computer Vision - ECCV 2020, 2020

FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.
CoRR, 2018

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018


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