We stand with Ukraine

We stand with Ukraine

Quan Zheng

Orcid: 0000-0001-5053-5511

Affiliations:

Institute of Software, Chinese Academy of Sciences, China
Max Planck Institute for Informatics, Germany (former)
University of Maryland, College Park, USA (former)

According to our database¹, Quan Zheng authored at least 23 papers between 2015 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 orcid.org

On csauthors.net:

Bibliography

2026

CLIP-Guided Unsupervised Semantic-Aware Exposure Correction.

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CoRR, January, 2026

2025

LightLLIE: Lightweight Low-Light Image Enhancement via Dual Attention and Re-parameterization.

[DOI]

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Proceedings of the International Joint Conference on Neural Networks, 2025

Revitalize Supervised Low-Light Image Enhancer: Learning Source-Free Fast Scene Adaptation.

[DOI]

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Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Learning Novel View Synthesis from Heterogeneous Low-light Captures.

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CoRR, 2024

3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation.

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CoRR, 2024

3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

GSGAN: Learning controllable geospatial images generation.

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IET Image Process., February, 2023

A survey on facial image deblurring.

[DOI]

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Comput. Vis. Media, February, 2023

Neural Invertible Variable-degree Optical Aberrations Correction.

[DOI]

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CoRR, 2023

Zero-shot Adaptive Low Light Enhancement with Retinex Decomposition and Hybrid Curve Estimation.

[DOI]

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Proceedings of the International Joint Conference on Neural Networks, 2023

Model Driven Deep Unfolding Network for Extreme Low-Light Image Enhancement and Denoising.

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Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Physics informed neural fields for smoke reconstruction with sparse data.

[DOI]

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Aleksandra Franz

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Hans-Peter Seidel

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Christian Theobalt

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ACM Trans. Graph., 2022

2021

Neural Relightable Participating Media Rendering.

[DOI]

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Hans-Peter Seidel

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Neural light field 3D printing.

[DOI]

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Gordon Wetzstein

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Hans-Peter Seidel

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Matthias Zwicker

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ACM Trans. Graph., 2020

Real-time Monte Carlo Denoising with the Neural Bilateral Grid.

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Amitabh Varshney

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Matthias Zwicker

Proceedings of the 31st Eurographics Symposium on Rendering, 2020

2019

Learning to Importance Sample in Primary Sample Space.

[DOI]

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Matthias Zwicker

Comput. Graph. Forum, 2019

2018

Removing Monte Carlo noise using a Sobel operator and a guided image filter.

[DOI]

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Vis. Comput., 2018

2017

Adaptive sparse polynomial regression for camera lens simulation.

[DOI]

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Vis. Comput., 2017

NeuroLens: Data-Driven Camera Lens Simulation Using Neural Networks.

[DOI]

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Comput. Graph. Forum, 2017

Adaptive Rendering based on Adaptive Order Selection.

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Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 1: GRAPP, Porto, Portugal, February 27, 2017

2016

Adaptive light paths generation through full lens model.

[DOI]

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Chang-Wen Zheng

Proceedings of the 12th International Conference on Natural Computation, 2016

2015

Visual importance-based adaptive photon tracing.

[DOI]

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Chang-Wen Zheng

Vis. Comput., 2015

Photon Shooting with Programmable Scalar Contribution Function.

[DOI]

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Chang-Wen Zheng

Proceedings of the Image and Graphics - 8th International Conference, 2015

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