Jun Gao

Latest

• SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
• LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
• Adaptive Shells for Efficient Neural Radiance Field Rendering
• Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
• Magic3D: High-Resolution Text-to-3D Content Creation
• Neural Fields meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes
• GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
• Extracting Triangular 3D Models, Materials, and Lighting From Images
• Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
• DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
• 3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations
• DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
• Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
• Learning Deformable Tetrahedral Meshes for 3D Reconstruction
• Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer