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09/06/2023
SLiMe: Segment Like Me
Significant strides have been made using large vision-language models, l...
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09/01/2023
Learned Visual Features to Textual Explanations
Interpreting the learned features of vision models has posed a longstand...
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07/08/2023
Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation
Significant progress has recently been made in creative applications of ...
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11/02/2022
TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text
Language is one of the primary means by which we describe the 3D world a...
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09/02/2022
Reconstructing editable prismatic CAD from rounded voxel models
Reverse Engineering a CAD shape from other representations is an importa...
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03/26/2022
SolidGen: An Autoregressive Model for Direct B-rep Synthesis
The Boundary representation (B-rep) format is the de-facto shape represe...
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10/23/2021
Group-disentangled Representation Learning with Weakly-Supervised Regularization
Learning interpretable and human-controllable representations that uncov...
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04/01/2021
BRepNet: A topological message passing system for solid models
Boundary representation (B-rep) models are the standard way 3D shapes ar...
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06/18/2020
UV-Net: Learning from Curve-Networks and Solids
Parametric curves, surfaces and boundary representations are the basis f...
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06/04/2020
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning
A major endeavor of computer vision is to represent, understand and extr...
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05/12/2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
The latent variables learned by VAEs have seen considerable interest as ...
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03/11/2020
