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Jun Gao
Jun Gao
Verified email at cs.toronto.edu - Homepage
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Magic3d: High-resolution text-to-3d content creation
CH Lin*, J Gao*, L Tang*, T Takikawa*, X Zeng*, X Huang, K Kreis, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
7252023
Learning to Navigate for Fine-grained Classification
Z Yang, T Luo, D Wang, Z Hu, G Jun, L Wang
Proceedings of the European Conference on Computer Vision (ECCV), 2018
5992018
Learning to predict 3d objects with an interpolation-based differentiable renderer
W Chen, J Gao, H Ling, E Smith, J Lehtinen, A Jacobson, S Fidler
Advances in Neural Information Processing Systems 32, 9609-9619, 2019
3882019
Get3d: A generative model of high quality 3d textured shapes learned from images
J Gao, T Shen, Z Wang, W Chen, K Yin, D Li, O Litany, Z Gojcic, S Fidler
Advances In Neural Information Processing Systems 35, 31841-31854, 2022
3422022
Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis
T Shen, J Gao, K Yin, MY Liu, S Fidler
Advances in Neural Information Processing Systems 34, 6087-6101, 2021
3102021
Datasetgan: Efficient labeled data factory with minimal human effort
Y Zhang, H Ling, J Gao, K Yin, JF Lafleche, A Barriuso, A Torralba, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
3022021
Fast Interactive Object Annotation with Curve-GCN
H Ling*, J Gao*, A Kar, W Chen, S Fidler
Conference on Computer Vision and Pattern Recognition, 2019
2922019
Extracting triangular 3d models, materials, and lighting from images
J Munkberg, J Hasselgren, T Shen, J Gao, W Chen, A Evans, T Müller, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2762022
Representation Degeneration Problem in Training Natural Language Generation Models
J Gao, D He, X Tan, T Qin, L Wang, T Liu
International Conference on Learning Representations, 2018
2312018
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
J Gao, W Chen, T Xiang, A Jacobson, M McGuire, S Fidler
NeurIPS 2020, 2020
1052020
3dstylenet: Creating 3d shapes with geometric and texture style variations
K Yin, J Gao, M Shugrina, S Khamis, S Fidler
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
612021
DIB-R++: learning to predict lighting and material with a hybrid differentiable renderer
W Chen, J Litalien, J Gao, Z Wang, C Fuji Tsang, S Khamis, O Litany, ...
Advances in Neural Information Processing Systems 34, 22834-22848, 2021
512021
Neural fields meet explicit geometric representations for inverse rendering of urban scenes
Z Wang, T Shen, J Gao, S Huang, J Munkberg, J Hasselgren, Z Gojcic, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
492023
Deepspline: Data-driven reconstruction of parametric curves and surfaces
J Gao, C Tang, V Ganapathi-Subramanian, J Huang, H Su, LJ Guibas
arXiv preprint arXiv:1901.03781, 2019
432019
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization.
T Shen, J Munkberg, J Hasselgren, K Yin, Z Wang, W Chen, Z Gojcic, ...
ACM Trans. Graph. 42 (4), 37:1-37:16, 2023
362023
Dropout training, data-dependent regularization, and generalization bounds
W Mou, Y Zhou, J Gao, L Wang
International conference on machine learning, 3645-3653, 2018
342018
Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid
J Gao, Z Wang, J Xuan, S Fidler
ECCV 2020 European Conference on Computer Vision, 2020
242020
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation
B Chen, H Ling, X Zeng, G Jun, Z Xu, S Fidler
ECCV 2020 European Conference on Computer Vision, 2020
212020
Adaptive shells for efficient neural radiance field rendering
Z Wang, T Shen, M Nimier-David, N Sharp, J Gao, A Keller, S Fidler, ...
arXiv preprint arXiv:2311.10091, 2023
202023
Fine detailed texture learning for 3D meshes with generative models
A Dundar, J Gao, A Tao, B Catanzaro
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
152023
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