CompenNet++: End-to-End Full Projector Compensation
Bingyao Huang, Haibin Ling
Abstract
Full projector compensation aims to modify a projector input image such that it can compensate for both geometric and photometric disturbance of the projection surface. Traditional methods usually solve the two parts separately, although they are known to correlate with each other. In this paper, we propose the first end-to-end solution, named CompenNet++, to solve the two problems jointly. Our work non-trivially extends CompenNet [15], which was recently proposed for photometric compensation with promising performance. First, we propose a novel geometric correction subnet, which is designed with a cascaded coarse-to-fine structure to learn the sampling grid directly from photometric sampling images. Second, by concatenating the geometric correction subset with CompenNet, Com-penNet++ accomplishes full projector compensation and is end-to-end trainable. Third, after training, we significantly simplify both geometric and photometric compensation parts, and hence largely improves the running time efficiency. Moreover, we construct the first setup-independent full compensation benchmark to facilitate the study on this topic. In our thorough experiments, our method shows clear advantages over previous arts with promising compensation quality and meanwhile being practically convenient. * Corresponding author. 1 In the rest of the text, we call it full compensation for conciseness.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers7
- DeProCams: Simultaneous Relighting, Compensation and Shape Reconstruction for Projector-Camera SystemsBingyao Huang, Haibin LingIEEE VR 2021 · 30 citations
- CompenHR: Efficient Full Compensation for High-resolution ProjectorYuxi Wang, Haibin Ling, Bingyao HuangIEEE VR 2023 · 17 citations
- SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image ClassifiersBingyao Huang, Haibin LingIEEE VR 2022 · 16 citations
- Extended Depth-of-Field Projector using Learned Diffractive OpticsYuqi Li, Qiang Fu, Wolfgang HeidrichIEEE VR 2023 · 10 citations
- DPCS: Path Tracing-Based Differentiable Projector-Camera SystemsJijiang Li, Qingyue Deng, Haibin Ling, Bingyao HuangIEEE VR 2025 · 4 citations
Related papers
- ViComp: Video Compensation for Projector-Camera SystemsYuxi Wang, Haibin Ling, Bingyao HuangIEEE VR 2024 · 10 citations
- Setup-Independent Full Projector CompensationHaibo Li, Qingyue Deng, Jijiang Li, Haibin Ling et al.IEEE VR 2026
- DiffPC: Diffusion-Based Projector Photometric CompensationYuxi Wang, Haibin Ling, Bingyao HuangIEEE VR 2026
- Online Projector Deblurring Using a Convolutional Neural NetworkYuta Kageyama, Daisuke Iwai, Kosuke SatoIEEE VR 2022 · 25 citations
- An End-to-End Real-World Camera Imaging PipelineKepeng Xu, Zijia Ma, Li Xu, Gang He et al.ACM MM 2024 · 9 citations
