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07/27/2023
TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis
The gradual nature of a diffusion process that synthesizes samples in sm...
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04/26/2023
TextDeformer: Geometry Manipulation using Text Guidance
We present a technique for automatically producing a deformation of an i...
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02/08/2023
GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models
Recent text-to-image diffusion models such as MidJourney and Stable Diff...
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12/21/2022
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions
We present 3D Highlighter, a technique for localizing semantic regions o...
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12/19/2022
GeoCode: Interpretable Shape Programs
Mapping high-fidelity 3D geometry to a representation that allows for in...
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12/13/2022
DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization
We present a neural technique for learning to select a local sub-region ...
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12/09/2022
LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing
There is no settled universal 3D representation for geometry with many a...
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10/11/2022
TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation
We present TetGAN, a convolutional neural network designed to generate t...
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05/05/2022
GANimator: Neural Motion Synthesis from a Single Sequence
We present GANimator, a generative model that learns to synthesize novel...
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01/05/2022
DeepMLS: Geometry-Aware Control Point Deformation
We introduce DeepMLS, a space-based deformation technique, guided by a s...
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12/06/2021
Text2Mesh: Text-Driven Neural Stylization for Meshes
In this work, we develop intuitive controls for editing the style of 3D ...
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06/22/2021
The Neurally-Guided Shape Parser: A Monte Carlo Method for Hierarchical Labeling of Over-segmented 3D Shapes
Many learning-based 3D shape semantic segmentation methods assign labels...
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05/30/2021
Z2P: Instant Rendering of Point Clouds
We present a technique for rendering point clouds using a neural network...
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05/06/2021
Learning Skeletal Articulations with Neural Blend Shapes
Animating a newly designed character using motion capture (mocap) data i...
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05/04/2021
Orienting Point Clouds with Dipole Propagation
Establishing a consistent normal orientation for point clouds is a notor...
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08/14/2020
Self-Sampling for Neural Point Cloud Consolidation
In this paper, we introduce a deep learning technique for consolidating ...
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06/30/2020
Deep Geometric Texture Synthesis
Recently, deep generative adversarial networks for image generation have...
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05/22/2020
Point2Mesh: A Self-Prior for Deformable Meshes
In this paper, we introduce Point2Mesh, a technique for reconstructing a...
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03/30/2020
PointGMM: a Neural GMM Network for Point Clouds
Point clouds are a popular representation for 3D shapes. However, they e...
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04/04/2019
Blind Visual Motif Removal from a Single Image
Many images shared over the web include overlaid objects, or visual moti...
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09/16/2018
MeshCNN: A Network with an Edge
A polygonal mesh representation provides an efficient approximation for ...
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04/23/2018
ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning
The process of aligning a pair of shapes is a fundamental operation in c...
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02/04/2017
