Computer graphics, artificial intelligence, computational photography

Sep. 2012 -- Jul. 2017   University of Chinese Academy of Sciences   Ph.D.
Sep. 2008 -- Jun. 2012  Dalian University of Technology   Bachelor

Nov. 2021 ~ now, Institute of Software, Chinese Academy of Sciences, (Research) Associate Professor

Oct. 2019 ~ Oct. 2021, Max Planck Institute for Informatics, Researcher

Oct. 2017 ~ Oct. 2019, University of Maryland College Park, Postdoc

[1] S. Zhang, Y. Zhang, Q. Zheng, R. Ma, et al. 3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation. The Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[2] S. Cui, B. Wang, Q. Zheng. Neural Invertible Variable-degree Optical Aberrations Correction. Optics Express, 31(9), 2023.

[3] B. Wang, F. Xu, Q. Zheng. A Survey on Facial Image Deblurring. Computational Visual Media, 10(1), 2024.

[4] S. Cui, F. Xu, X. Tang, Q. Zheng. Model Driven Deep Unfolding Network for Extreme Low-Light Image Enhancement and Denoising. International Joint Conference on Neural Networks, 2023.

[5] Y. Xia, F. Xu, Q. Zheng. Zero-Shot Adaptive Low Light Enhancement with Retinex Decomposition and Hybrid Curve Estimation. International Joint Conference on Neural Networks, 2023.

[6] X. Su, Y. Lin, Q. Zheng, F. Wu, et al. GSGAN: Learning Controllable Geospatial Images Generation. IET Image Processing, 17(2), 2022.

[7] M. Chu, L. Liu, Q. Zheng, E. Franz, et al. Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data. ACM Transactions on Graphics (TOG), 41(4), SIGGRAPH 2022.

[8] Q. Zheng, G. Singh, H.-P. Seidel. Neural Relightable Participating Media Rendering. The Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), 2021.

[9] Q. Zheng, V. Babaei, G. Wetzstein, H.-P. Seidel. Neural Light Field 3D Printing. ACM Transactions on Graphics (TOG), 39(6), SIGGRAPH Asia 2020.

[10] X. Meng, Q. Zheng, A. Varshney, G. Singh, et al. Real-time Monte Carlo Denoising with the Neural Bilateral Grid. The Thirty-First Eurographics Symposium on Rendering (EGSR).

[11] Q. Zheng, M. Zwicker. Learning to Importance Sample in Primary Sample Space. Computer Graphics Forum (CGF), 2019, 38(2), Eurographics 2019.

[12] Y. Liu, C. Zheng, Q. Zheng, H. Yuan. Removing Monte Carlo Noise Using a Sobel Operator and a Guided Image Filter. The Visual Computer, 34(4), 2018.

[13] Y. Cheng, Q. Zheng, J. Peng, P. Lv, et al. Optical simulation of flying targets using physically based renderer. The Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2018.

[14] Q. Zheng, C. Zheng. NeuroLens: Data-Driven Camera Lens Simulation Using Neural Networks. Computer Graphics Forum (CGF), 36(8), Eurographics 2017.

[15] Q. Zheng, C. Zheng. Adaptive Sparse Polynomial Regression for Camera Lens Simulation. The Visual Computer, 2017, 33(6).

[16] H. Yuan, C. Zheng, Q. Zheng, Y. Liu. Adaptive Rendering Based on Adaptive Order Selection. The Twelfth International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017.

[17] Q. Zheng, C. Zheng. Adaptive Light Paths Generation through Full Lens Model. The Twelfth International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 2016.

[18] Q. Zheng, C. Zheng. Visual Importance-Based Adaptive Photon Tracing. The Visual Computer, 31(6), 2015.

[19] Q. Zheng, C. Zheng. Photon shooting with programmable scalar contribution function. The Eighth International Conference on Image and Graphics, 2015.