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03/21/2023
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes
In this work, we introduce CC3D, a conditional generative model that syn...
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03/21/2023
CurveCloudNet: Processing Point Clouds with 1D Structure
Modern depth sensors such as LiDAR operate by sweeping laser-beams acros...
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12/08/2022
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction
This work introduces alternating latent topologies (ALTO) for high-fidel...
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10/04/2022
COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos
To produce safe human motions, assistive wearable exoskeletons must be e...
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06/29/2022
3D-Aware Video Generation
Generative models have emerged as an essential building block for many i...
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10/07/2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
The ability to synthesize realistic and diverse indoor furniture layouts...
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03/18/2021
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
Impressive progress in 3D shape extraction led to representations that c...
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04/02/2020
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image
Humans perceive the 3D world as a set of distinct objects that are chara...
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04/22/2019
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
Abstracting complex 3D shapes with parsimonious part-based representatio...
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01/06/2019
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
In this paper, we consider the problem of reconstructing a dense 3D mode...
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06/06/2018
PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds
Despite significant progress in image-based 3D scene flow estimation, th...
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06/26/2017