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09/11/2023
Towards Viewpoint Robustness in Bird's Eye View Segmentation
Autonomous vehicles (AV) require that neural networks used for perceptio...
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08/10/2023
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
This work considers gradient-based mesh optimization, where we iterative...
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04/21/2023
Omni-Line-of-Sight Imaging for Holistic Shape Reconstruction
We introduce Omni-LOS, a neural computational imaging method for conduct...
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04/06/2023
Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes
Reconstruction and intrinsic decomposition of scenes from captured image...
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12/15/2022
Relightable Neural Human Assets from Multi-view Gradient Illuminations
Human modeling and relighting are two fundamental problems in computer v...
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12/10/2022
HumanGen: Generating Human Radiance Fields with Explicit Priors
Recent years have witnessed the tremendous progress of 3D GANs for gener...
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09/22/2022
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
As several industries are moving towards modeling massive 3D virtual wor...
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08/19/2022
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion
We consider the challenging problem of outdoor lighting estimation for t...
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07/03/2022
NARRATE: A Normal Assisted Free-View Portrait Stylizer
In this work, we propose NARRATE, a novel pipeline that enables simultan...
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11/24/2021
Extracting Triangular 3D Models, Materials, and Lighting From Images
We present an efficient method for joint optimization of topology, mater...
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10/30/2021
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
We consider the challenging problem of predicting intrinsic object prope...
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11/03/2020
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
3D shape representations that accommodate learning-based 3D reconstructi...
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10/18/2020
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Differentiable rendering has paved the way to training neural networks t...
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11/12/2019
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
We present Kaolin, a PyTorch library aiming to accelerate 3D deep learni...
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08/03/2019
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
Many machine learning models operate on images, but ignore the fact that...
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03/16/2019
Fast Interactive Object Annotation with Curve-GCN
Manually labeling objects by tracing their boundaries is a laborious pro...
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11/24/2018
Steady-state Non-Line-of-Sight Imaging
Conventional intensity cameras recover objects in the direct line-of-sig...
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08/18/2016
A Holistic Approach for Data-Driven Object Cutout
Object cutout is a fundamental operation for image editing and manipulat...
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04/10/2016