Jun Gao

Orcid: 0000-0002-3521-0417

Affiliations:
  • University of Toronto, Canada


According to our database1, Jun Gao authored at least 22 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Adaptive Shells for Efficient Neural Radiance Field Rendering.
ACM Trans. Graph., December, 2023

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization.
ACM Trans. Graph., August, 2023

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space.
CoRR, 2023

Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes.
CoRR, 2023

Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Magic3D: High-Resolution Text-to-3D Content Creation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention.
CoRR, 2022

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images.
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.
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.
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.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning Deformable Tetrahedral Meshes for 3D Reconstruction.
CoRR, 2020

Learning Deformable Tetrahedral Meshes for 3D Reconstruction.
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.
Proceedings of the Computer Vision - ECCV 2020, 2020

Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid.
Proceedings of the Computer Vision - ECCV 2020, 2020

ScribbleBox: Interactive Annotation Framework for Video Object Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing.
CoRR, 2019

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fast Interactive Object Annotation With Curve-GCN.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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