| Learning implicit fields for generative shape modeling Z Chen, H Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1641 | 2019 |
| Bsp-net: Generating compact meshes via binary space partitioning Z Chen, A Tagliasacchi, H Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 331 | 2020 |
| Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures Z Chen, T Funkhouser, P Hedman, A Tagliasacchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 276 | 2023 |
| Bae-net: Branched autoencoder for shape co-segmentation Z Chen, K Yin, M Fisher, S Chaudhuri, H Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 143 | 2019 |
| Neural marching cubes Z Chen, H Zhang ACM Transactions on Graphics (TOG) 40 (6), 1-15, 2021 | 80 | 2021 |
| Neural Dual Contouring Z Chen, A Tagliasacchi, T Funkhouser, H Zhang ACM Transactions on Graphics (TOG) 41 (4), 1-13, 2022 | 77 | 2022 |
| Capri-net: Learning compact cad shapes with adaptive primitive assembly F Yu, Z Chen, M Li, A Sanghi, H Shayani, A Mahdavi-Amiri, H Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 60 | 2022 |
| Decor-gan: 3d shape detailization by conditional refinement Z Chen, VG Kim, M Fisher, N Aigerman, H Zhang, S Chaudhuri Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 56 | 2021 |
| Coalesce: Component assembly by learning to synthesize connections K Yin, Z Chen, S Chaudhuri, M Fisher, VG Kim, H Zhang 2020 International Conference on 3D Vision (3DV), 61-70, 2020 | 46 | 2020 |
| LOGAN: Unpaired shape transform in latent overcomplete space K Yin, Z Chen, H Huang, D Cohen-Or, H Zhang ACM Transactions on Graphics (TOG) 38 (6), 1-13, 2019 | 45 | 2019 |
| Auv-net: Learning aligned uv maps for texture transfer and synthesis Z Chen, K Yin, S Fidler Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 33 | 2022 |
| BSD-GAN: Branched generative adversarial network for scale-disentangled representation learning and image synthesis Z Yi, Z Chen, H Cai, W Mao, M Gong, H Zhang IEEE Transactions on Image Processing 29, 9073-9083, 2020 | 18 | 2020 |
| IM-NET: Learning implicit fields for generative shape modeling Z Chen Simon Fraser University, 2019 | 12 | 2019 |
| Learning mesh representations via binary space partitioning tree networks Z Chen, A Tagliasacchi, H Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4870-4881, 2021 | 10 | 2021 |
| ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering Q Chen, Z Chen, H Zhou, H Zhang SIGGRAPH Asia 2023 Conference Papers, 1-11, 2023 | 6 | 2023 |
| DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation Z Chen, Q Chen, H Zhou, H Zhang ACM SIGGRAPH 2024 Conference Papers, 1-11, 2024 | 2 | 2024 |
| A Review of Deep Learning-Powered Mesh Reconstruction Methods Z Chen arXiv preprint arXiv:2303.02879, 2023 | 2 | 2023 |
| DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement Q Chen, Z Chen, VG Kim, N Aigerman, H Zhang, S Chaudhuri arXiv preprint arXiv:2409.06129, 2024 | | 2024 |
| Text-guided Controllable Mesh Refinement for Interactive 3D Modeling YC Chen, S Ling, Z Chen, VG Kim, M Gadelha, A Jacobson arXiv preprint arXiv:2406.01592, 2024 | | 2024 |
Hao (Richard) ZhangDistinguished Professor (Simon Fraser University), IEEE Fellow, Amazon ScholarVerified email at cs.sfu.ca
