Deep mesh reconstruction from single rgb images via topology modification networks J Pan, X Han, W Chen, J Tang, K Jia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 224 | 2019 |
3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models B Zhang, J Tang, M Niessner, P Wonka ACM Transactions on Graphics (TOG) 42 (4), 1-16, 2023 | 144 | 2023 |
A skeleton-bridged deep learning approach for generating meshes of complex topologies from single rgb images J Tang, X Han, J Pan, K Jia, X Tong Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019 | 103 | 2019 |
Sa-convonet: Sign-agnostic optimization of convolutional occupancy networks J Tang, J Lei, D Xu, F Ma, K Jia, L Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 86 | 2021 |
Diffuscene: Denoising diffusion models for generative indoor scene synthesis J Tang, Y Nie, L Markhasin, A Dai, J Thies, M Nießner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 74* | 2024 |
Rgbd2: Generative scene synthesis via incremental view inpainting using rgbd diffusion models J Lei, J Tang, K Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 42* | 2023 |
Skeletonnet: A topology-preserving solution for learning mesh reconstruction of object surfaces from rgb images J Tang, X Han, M Tan, X Tong, K Jia IEEE transactions on pattern analysis and machine intelligence 44 (10), 6454 …, 2021 | 39 | 2021 |
Learning parallel dense correspondence from spatio-temporal descriptors for efficient and robust 4d reconstruction J Tang, D Xu, K Jia, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 34 | 2021 |
Neural shape deformation priors J Tang, L Markhasin, B Wang, J Thies, M Nießner Advances in Neural Information Processing Systems 35, 17117-17132, 2022 | 31 | 2022 |
Deep mesh reconstruction from single rgb images via topology modification networks. 2019 IEEE J Pan, X Han, W Chen, J Tang, K Jia CVF International Conference on Computer Vision (ICCV) 3, 2019 | 15 | 2019 |
PVSeRF: joint pixel-, voxel-and surface-aligned radiance field for single-image novel view synthesis X Yu, J Tang, Y Qin, C Li, X Han, L Bao, S Cui Proceedings of the 30th ACM International Conference on Multimedia, 1572-1583, 2022 | 10 | 2022 |
Motion2vecsets: 4d latent vector set diffusion for non-rigid shape reconstruction and tracking W Cao, C Luo, B Zhang, M Nießner, J Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
Gghead: Fast and generalizable 3d gaussian heads T Kirschstein, S Giebenhain, J Tang, M Georgopoulos, M Nießner SIGGRAPH Asia 2024 Conference Papers, 1-11, 2024 | 6 | 2024 |
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking J Tang, A Dai, Y Nie, L Markhasin, J Thies, M Nießner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embedding X Zhihao, G Shengjie, T Jiapeng, L Lingyu, H Yining, L Haojie, ... | 2* | 2024 |
Co-Saliency Detection Based on Feature Enhancement and Contrast Learning J Tang, D Xu, X Zuo, Q Qian 2024 5th International Seminar on Artificial Intelligence, Networking and …, 2024 | 1 | 2024 |
GAF: Gaussian Avatar Reconstruction from Monocular Videos via Multi-view Diffusion J Tang, D Davoli, T Kirschstein, L Schoneveld, M Niessner arXiv preprint arXiv:2412.10209, 2024 | | 2024 |
Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction J Tang, D Xu, K Jia, L Zhang | | 2021 |
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking–Supplementary Material– J Tang, A Dai, Y Nie, L Markhasin, J Thies, M Nießner | | |
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking–Supplementaty Material– W Cao, C Luo, B Zhang, M Nießner, J Tang | | |