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research article

Inverse Rendering for Tomographic Volumetric Additive Manufacturing

Nicolet, Baptiste  
•
Wechsler, Felix  
•
Madrid-Wolff, Jorge  
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December 19, 2024
ACM Transactions on Graphics (TOG)

Tomographic Volumetric Additive Manufacturing (TVAM) is an emerging 3D printing technology that can create complex objects in under a minute. The key idea is to project intense light patterns onto a rotating vial of photo-sensitive resin, causing polymerization where the cumulative dose of these patterns reaches the polymerization threshold. We formulate the pattern calculation as an inverse light transport problem and solve it via physically based differentiable rendering. In doing so, we address longstanding limitations of prior work by accurately modeling and correcting for scattering in composite resins, printing in non-symmetric vials, and supporting unusual printing geometries. We also introduce an improved discretization scheme that exploits the ray tracing operation to mitigate resolution-related artifacts in prints. We demonstrate the benefits of our method in real-world experiments, where our computed patterns produce prints with an improved fidelity.

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Type
research article
DOI
10.1145/3687924
Scopus ID

2-s2.0-85210101206

Author(s)
Nicolet, Baptiste  

École Polytechnique Fédérale de Lausanne

Wechsler, Felix  

École Polytechnique Fédérale de Lausanne

Madrid-Wolff, Jorge  

École Polytechnique Fédérale de Lausanne

Moser, Christophe  

École Polytechnique Fédérale de Lausanne

Jakob, Wenzel  

École Polytechnique Fédérale de Lausanne

Date Issued

2024-12-19

Publisher

Association for Computing Machinery (ACM)

Published in
ACM Transactions on Graphics (TOG)
Volume

43

Issue

6

Article Number

12-ART228

Subjects

additive manufacturing

•

differentiable rendering

•

inverse rendering

•

scattering

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
RGL  
LAPD  
FunderFunding(s)Grant NumberGrant URL

ERC

European Union s Horizon 2020 research and innovation program

948846

Swiss National Science Foundation

196971

Available on Infoscience
January 25, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/244072
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