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20162022
most citedShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

79 citations · 226 across the 27 of their papers we have counts for

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14 papers · 1 filter

cs.GR202114 cited

CurveFusion: Reconstructing Thin Structures from RGBD Sequences

Lingjie Liu, Nenglun Chen, Duygu Ceylan +3

We introduce CurveFusion, the first approach for high quality scanning of thin structures at interactive rates using a handheld RGBD camera. Thin filament-like structures are mathe…

cs.GR2021

Generative Modelling of BRDF Textures from Flash Images

Philipp Henzler, Valentin Deschaintre, Niloy J. Mitra +1

We learn a latent space for easy capture, consistent interpolation, and efficient reproduction of visual material appearance. When users provide a photo of a stationary natural mat…

cs.GR202079 cited

ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

R. Kenny Jones, Theresa Barton, Xianghao Xu +5

Manually authoring 3D shapes is difficult and time consuming; generative models of 3D shapes offer compelling alternatives. Procedural representations are one such possibility: the…

cs.GR20204 cited

Sketch2CAD: Sequential CAD Modeling by Sketching in Context

Changjian Li, Hao Pan, Adrien Bousseau +1

We present a sketch-based CAD modeling system, where users create objects incrementally by sketching the desired shape edits, which our system automatically translates to CAD opera…

cs.GR20204 cited

DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces

Minhyuk Sung, Zhenyu Jiang, Panos Achlioptas +2

Shape deformation is an important component in any geometry processing toolbox. The goal is to enable intuitive deformations of single or multiple shapes or to transfer example def…

cs.GR20203 cited

Deep Detail Enhancement for Any Garment

Meng Zhang, Tuanfeng Wang, Duygu Ceylan +1

Creating fine garment details requires significant efforts and huge computational resources. In contrast, a coarse shape may be easy to acquire in many scenarios (e.g., via low-res…