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05/24/2023
Unsupervised Semantic Correspondence Using Stable Diffusion
Text-to-image diffusion models are now capable of generating images that...
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09/21/2022
Attention Beats Concatenation for Conditioning Neural Fields
Neural fields model signals by mapping coordinate inputs to sampled valu...
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08/18/2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation
We propose to utilize self-supervised techniques in the 2D domain for fi...
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12/27/2021
SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds
We present SurFit, a simple approach for label efficient learning of 3D ...
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03/30/2020
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
The problems of shape classification and part segmentation from 3D point...
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03/26/2020
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
We propose a novel, end-to-end trainable, deep network called ParSeNet t...
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12/22/2019
Neural Shape Parsers for Constructive Solid Geometry
Constructive Solid Geometry (CSG) is a geometric modeling technique that...
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10/03/2019
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation
User generated 3D shapes in online repositories contain rich information...
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12/22/2018
Search-Guided, Lightly-supervised Training of Structured Prediction Energy Networks
In structured output prediction tasks, labeling ground-truth training ou...
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12/22/2017