283 citations · 463 across the 8 of their papers we have counts for
9 papers
DancingBox: A Lightweight MoCap System for Character Animation from Physical Proxies
Haocheng Yuan, Adrien Bousseau, Hao Pan +2
Creating compelling 3D character animations typically requires either expert use of professional software or expensive motion capture systems operated by skilled actors. We present…
DiffCSG: Differentiable CSG via Rasterization
Haocheng Yuan, Adrien Bousseau, Hao Pan +3
Differentiable rendering is a key ingredient for inverse rendering and machine learning, as it allows to optimize scene parameters (shape, materials, lighting) to best fit target i…
CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs
Haocheng Yuan, Jing Xu, Hao Pan +3
CAD programs are a popular way to compactly encode shapes as a sequence of operations that are easy to parametrically modify. However, without sufficient semantic comments and stru…
Deep scene-scale material estimation from multi-view indoor captures
Siddhant Prakash, Gilles Rainer, Adrien Bousseau +1
The movie and video game industries have adopted photogrammetry as a way to create digital 3D assets from multiple photographs of a real-world scene. But photogrammetry algorithms…
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…
Guided Fine-Tuning for Large-Scale Material Transfer
Valentin Deschaintre, George Drettakis, Adrien Bousseau
We present a method to transfer the appearance of one or a few exemplar SVBRDFs to a target image representing similar materials. Our solution is extremely simple: we fine-tune a d…