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Zhiqin Chen
Zhiqin Chen
PhD student of computing science, Simon Fraser University
Verified email at sfu.ca - Homepage
Title
Cited by
Cited by
Year
Learning implicit fields for generative shape modeling
Z Chen, H Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
6942019
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
1552020
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
932019
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
272019
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
152020
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
132021
Neural marching cubes
Z Chen, H Zhang
ACM Transactions on Graphics (TOG) 40 (6), 1-15, 2021
102021
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
9*2020
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
32022
IM-NET: Learning implicit fields for generative shape modeling
Z Chen
Applied Sciences: School of Computing Science, 2019
32019
Learning mesh representations via binary space partitioning tree networks
Z Chen, A Tagliasacchi, H Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
12021
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
Z Chen, T Funkhouser, P Hedman, A Tagliasacchi
arXiv preprint arXiv:2208.00277, 2022
2022
Neural Dual Contouring
Z Chen, A Tagliasacchi, T Funkhouser, H Zhang
arXiv preprint arXiv:2202.01999, 2022
2022
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
2022
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