Jun Gao

According to our database, Jun Gao authored at least 28 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models.

Yifan Lu, Xuanchi Ren, Jiawei Yang, Tianchang Shen, Zhangjie Wu, Jun Gao, Yue Wang, Siheng Chen, Mike Chen, Sanja Fidler, Jiahui Huang

CoRR, 2024

SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes.

Tianchang Shen, Zhaoshuo Li, Marc T. Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space.

Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis.

Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Adaptive Shells for Efficient Neural Radiance Field Rendering.

Zian Wang, Tianchang Shen, Merlin Nimier-David, Nicholas Sharp, Jun Gao, Alexander Keller, Sanja Fidler, Thomas Müller, Zan Gojcic

ACM Trans. Graph., December, 2023

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization.

Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao

ACM Trans. Graph., August, 2023

Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes.

Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler

CoRR, 2023

Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes.

Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Magic3D: High-Resolution Text-to-3D Content Creation.

Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention.

Gary Leung, Jun Gao, Xiaohui Zeng, Sanja Fidler

CoRR, 2022

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images.

Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Extracting Triangular 3D Models, Materials, and Lighting From Images.

Jacob Munkberg, Wenzheng Chen, Jon Hasselgren, Alex Evans, Tianchang Shen, Thomas Müller, Jun Gao, Sanja Fidler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis.

Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer.

Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering.

Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler

Proceedings of the 9th International Conference on Learning Representations, 2021

3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations.

Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort.

Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning Deformable Tetrahedral Meshes for 3D Reconstruction.

Jun Gao, Wenzheng Chen, Tommy Xiang, Clement Fuji Tsang, Alec Jacobson, Morgan McGuire, Sanja Fidler

CoRR, 2020

Learning Deformable Tetrahedral Meshes for 3D Reconstruction.

Jun Gao, Wenzheng Chen, Tommy Xiang, Alec Jacobson, Morgan McGuire, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Interactive Annotation of 3D Object Geometry Using 2D Scribbles.

Tianchang Shen, Jun Gao, Amlan Kar, Sanja Fidler

Proceedings of the Computer Vision - ECCV 2020, 2020

Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid.

Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler

Proceedings of the Computer Vision - ECCV 2020, 2020

ScribbleBox: Interactive Annotation Framework for Video Object Segmentation.

Bowen Chen, Huan Ling, Xiaohui Zeng, Jun Gao, Ziyue Xu, Sanja Fidler

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing.

Jun Gao, Xiao Li, Liwei Wang, Sanja Fidler, Stephen Lin

CoRR, 2019

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer.

Wenzheng Chen, Huan Ling, Jun Gao, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Representation Degeneration Problem in Training Natural Language Generation Models.

Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu

Proceedings of the 7th International Conference on Learning Representations, 2019

Fast Interactive Object Annotation With Curve-GCN.

Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Dropout Training, Data-dependent Regularization, and Generalization Bounds.

Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning to Navigate for Fine-Grained Classification.

Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang

Proceedings of the Computer Vision - ECCV 2018, 2018