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09/13/2023
Digital 3D Smocking Design
We develop an optimization-based method to model smocking, a surface emb...
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06/09/2023
SENS: Sketch-based Implicit Neural Shape Modeling
We present SENS, a novel method for generating and editing 3D models fro...
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06/06/2023
GarmentCode: Programming Parametric Sewing Patterns
Garment modeling is an essential task of the global apparel industry and...
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06/01/2023
Example-based Motion Synthesis via Generative Motion Matching
We present GenMM, a generative model that "mines" as many diverse motion...
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02/06/2023
Neural Document Unwarping using Coupled Grids
Restoring the original, flat appearance of a printed document from casua...
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10/05/2022
Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization
We introduce pointwise map smoothness via the Dirichlet energy into the ...
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06/16/2022
MoDi: Unconditional Motion Synthesis from Diverse Data
The emergence of neural networks has revolutionized the field of motion ...
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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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02/21/2022
Computational Pattern Making from 3D Garment Models
We propose a method for computing a sewing pattern of a given 3D garment...
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01/31/2022
SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation
Neural implicit fields are quickly emerging as an attractive representat...
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10/15/2021
Sparsity-Specific Code Optimization using Expression Trees
We introduce a code generator that converts unoptimized C++ code operati...
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10/11/2021
Mesh Draping: Parametrization-Free Neural Mesh Transfer
Despite recent advances in geometric modeling, 3D mesh modeling still in...
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06/09/2021
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
We present implicit displacement fields, a novel representation for deta...
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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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04/19/2021
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
Multilayer-perceptrons (MLP) are known to struggle with learning functio...
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02/27/2021
Dev2PQ: Planar Quadrilateral Strip Remeshing of Developable Surfaces
We introduce an algorithm to remesh triangle meshes representing develop...
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02/10/2021
3D Custom Fit Garment Design with Body Movement
The standardized sizes used in the garment industry do not cover the ran...
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12/11/2020
Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations
Neural implicit functions have emerged as a powerful representation for ...
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05/12/2020
Skeleton-Aware Networks for Deep Motion Retargeting
We introduce a novel deep learning framework for data-driven motion reta...
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12/13/2019
Neural Cages for Detail-Preserving 3D Deformations
We propose a novel learnable representation for detail-preserving shape ...
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06/10/2019
Differentiable Surface Splatting for Point-based Geometry Processing
We propose Differentiable Surface Splatting (DSS), a high-fidelity diffe...
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11/27/2018
Patch-based Progressive 3D Point Set Upsampling
We present a detail-driven deep neural network for point set upsampling....
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04/11/2018
Deformation Capture via Soft and Stretchable Sensor Arrays
We propose a hardware and software pipeline to fabricate flexible wearab...
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04/11/2018
Deformation Capture via Self-Sensing Capacitive Arrays
We propose a novel hardware and software pipeline to fabricate flexible ...
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04/09/2018
A Fully Progressive Approach to Single-Image Super-Resolution
Recent deep learning approaches to single image super-resolution have ac...
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11/07/2017
Shape Representation by Zippable Ribbons
Shape fabrication from developable parts is the basis for arts such as p...
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07/26/2017
Discrete Geodesic Nets for Modeling Developable Surfaces
We present a discrete theory for modeling developable surfaces as quadri...
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06/20/2014