Structured3d: A large photo-realistic dataset for structured 3d modeling J Zheng, J Zhang, J Li, R Tang, S Gao, Z Zhou Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 254 | 2020 |
Interiornet: Mega-scale multi-sensor photo-realistic indoor scenes dataset W Li, S Saeedi, J McCormac, R Clark, D Tzoumanikas, Q Ye, Y Huang, ... arXiv preprint arXiv:1809.00716, 2018 | 237 | 2018 |
Data-driven interior plan generation for residential buildings W Wu, XM Fu, R Tang, Y Wang, YH Qi, L Liu ACM Transactions on Graphics (TOG) 38 (6), 1-12, 2019 | 220 | 2019 |
Adversarial Monte Carlo denoising with conditioned auxiliary feature modulation. B Xu, J Zhang, R Wang, K Xu, YL Yang, C Li, R Tang ACM Trans. Graph. 38 (6), 224:1-224:12, 2019 | 91 | 2019 |
Geometric structure based and regularized depth estimation from 360 indoor imagery L Jin, Y Xu, J Zheng, J Zhang, R Tang, S Xu, J Yu, S Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 77 | 2020 |
Intelligent home 3d: Automatic 3d-house design from linguistic descriptions only Q Chen, Q Wu, R Tang, Y Wang, S Wang, M Tan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 36 | 2020 |
Optical flow estimation using laplacian mesh energy W Li, D Cosker, M Brown, R Tang Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 26 | 2013 |
Layout-guided novel view synthesis from a single indoor panorama J Xu, J Zheng, Y Xu, R Tang, S Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 25 | 2021 |
I2-sdf: Intrinsic indoor scene reconstruction and editing via raytracing in neural sdfs J Zhu, Y Huo, Q Ye, F Luan, J Li, D Xi, L Wang, R Tang, W Hua, H Bao, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 24 | 2023 |
Learning-based inverse rendering of complex indoor scenes with differentiable monte carlo raytracing J Zhu, F Luan, Y Huo, Z Lin, Z Zhong, D Xi, R Wang, H Bao, J Zheng, ... SIGGRAPH Asia 2022 Conference Papers, 1-8, 2022 | 15 | 2022 |
Automatic structural scene digitalization R Tang, Y Wang, D Cosker, W Li PloS one 12 (11), e0187513, 2017 | 13 | 2017 |
Global alignment for dynamic 3d morphable model construction R Tang, D Cosker, W Li Workshop on Vision and Language (V&LW’12), 1-2, 2012 | 10 | 2012 |
Data-driven digital lighting design for residential indoor spaces H Ren, H Fan, R Wang, Y Huo, R Tang, L Wang, H Bao ACM Transactions on Graphics 42 (3), 1-18, 2023 | 9 | 2023 |
Interiornet: Mega-scale multi-sensor photo-realistic indoor scenes dataset. arXiv 2018 W Li, S Saeedi, J McCormac, R Clark, D Tzoumanikas, Q Ye, Y Huang, ... arXiv preprint arXiv:1809.00716, 0 | 6 | |
MINERVAS: Massive interior environments virtual synthesis H Ren, H Zhang, J Zheng, J Zheng, R Tang, Y Huo, H Bao, R Wang Computer Graphics Forum 41 (7), 63-74, 2022 | 4 | 2022 |
Versatile Multidimensional Pattern Analysis for Automated Facial Modeling and Architecture Parsing R Tang University of Bath, 2017 | 1 | 2017 |
Supplementary Material for MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis H Ren, H Zhang, J Zheng, J Zheng, R Tang, Y Huo, H Bao, R Wang | | 2022 |
Supplementary Material: I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs J Zhu, Y Huo, Q Ye, F Luan, J Li, D Xi, L Wang, R Tang, W Hua, H Bao, ... | | |
InteriorSim: A Photorealistic Simulator for Embodied AI M Roberts, Q Leboutet, R Prakash, R Wang, H Zhang, R Tang, M Ferragut, ... | | |
Optical Flow Estimation using Laplacian Mesh Energy WLDCM Brown, R Tang | | |