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03/29/2023
HoloDiffusion: Training a 3D Diffusion Model using 2D Images
Diffusion models have emerged as the best approach for generative modeli...
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11/27/2022
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene
We introduce 3inGAN, an unconditional 3D generative model trained from 2...
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05/29/2022
COFS: Controllable Furniture layout Synthesis
Scalable generation of furniture layouts is essential for many applicati...
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09/22/2021
Differentiable Surface Triangulation
Triangle meshes remain the most popular data representation for surface ...
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08/06/2021
GLASS: Geometric Latent Augmentation for Shape Spaces
We investigate the problem of training generative models on a very spars...
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06/04/2021
SketchGen: Generating Constrained CAD Sketches
Computer-aided design (CAD) is the most widely used modeling approach fo...
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03/27/2021
Labels4Free: Unsupervised Segmentation using StyleGAN
We propose an unsupervised segmentation framework for StyleGAN generated...
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02/27/2021
Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories
Recent years have seen a proliferation of new digital products for the e...
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12/02/2020
Learning Delaunay Surface Elements for Mesh Reconstruction
We present a method for reconstructing triangle meshes from point clouds...
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08/20/2020
Object Properties Inferring from and Transfer for Human Interaction Motions
Humans regularly interact with their surrounding objects. Such interacti...
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08/18/2020
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
We investigate the problem of learning to generate 3D parametric surface...
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08/06/2020
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows
High-quality, diverse, and photorealistic images can now be generated by...
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07/02/2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
We present RELATE, a model that learns to generate physically plausible ...
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02/20/2020
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images
We present BlockGAN, an image generative model that learns object-aware ...
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11/25/2019
StructEdit: Learning Structural Shape Variations
Learning to encode differences in the geometry and (topological) structu...
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08/01/2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
The ability to generate novel, diverse, and realistic 3D shapes along wi...
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11/28/2018
Escaping Plato's Cave using Adversarial Training: 3D Shape From Unstructured 2D Image Collections
We develop PlatonicGAN to discover 3D structure of an object class from ...
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11/23/2018
Do GAN Loss Functions Really Matter?
In this paper, we address the recent controversy between Lipschitz regul...
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05/14/2018
Unsupervised Intuitive Physics from Visual Observations
While learning models of intuitive physics is an increasingly active are...
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05/09/2018
Facade Segmentation in the Wild
Urban facade segmentation from automatically acquired imagery, in contra...
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12/22/2017
Taking Visual Motion Prediction To New Heightfields
While the basic laws of Newtonian mechanics are well understood, explain...
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10/28/2017
SeeThrough: Finding Chairs in Heavily Occluded Indoor Scene Images
Discovering 3D arrangements of objects from single indoor images is impo...
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06/06/2017
Learning to Represent Mechanics via Long-term Extrapolation and Interpolation
While the basic laws of Newtonian mechanics are well understood, explain...
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02/21/2014
Ergonomic-driven Geometric Exploration and Reshaping
The paper addresses the following problem: given a set of man-made shape...
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11/29/2013
Compact Part-Based Shape Spaces for Dense Correspondences
We consider the problem of establishing dense correspondences within a s...
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10/16/2013