Angela Dai
Angela Dai is a computer scientist whose work teaches machines to understand, model and generate real-world 3D environments. After a Princeton degree in 2013, she earned a Stanford PhD in 2018 under Pat Hanrahan, co-created the ScanNet dataset of 1513 indoor RGB-D scenes in 2017, and became a professor at the Technical University of Munich in 2020. In 2022, she won the Eurographics Young Researcher Award and an ERC Starting Grant, and in 2024 she received the ECVA Young Researcher Award and the German Pattern Recognition Award. MeshGPT, coauthored in 2023, generates triangle meshes with a decoder-only transformer. She is an Associate Professor at TUM, where she leads the 3D AI Lab.
Timeline
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2013–2018
Princeton and a Stanford PhD
She earns a BSE in computer science at Princeton in 2013. At Stanford, she completes a PhD in computer science in 2018 under the advisor Pat Hanrahan.
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2017
ScanNet and BundleFusion
In 2017, she is first author of ScanNet, an RGB-D video dataset of 1513 indoor scenes with 2.5M views, annotated with 3D camera poses, surface reconstructions and semantic segmentations. BundleFusion, a real-time globally consistent 3D reconstruction method she coauthors, appears in ACM Transactions on Graphics in 2017.
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2019–2020
SIGGRAPH honor and a TUM professorship
She receives an Honorable Mention for the ACM SIGGRAPH Outstanding Doctoral Dissertation Award in 2019 and holds a ZDB Junior Research Group Award from 2019. In 2020, she becomes a professor at the Technical University of Munich, where she leads the 3D AI Lab.
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2022
Eurographics award and ERC grant
Eurographics gives her its 2022 Young Researcher Award for her work on 3D scene reconstruction and semantic scene understanding, citing BundleFusion and the ScanNet datasets. The European Research Council awards her a 2022 Starting Grant for the project "Spatial 3D Semantic Understanding for Perception in the Wild".
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November 2023
MeshGPT for triangle meshes
She coauthors MeshGPT with Matthias Nießner and colleagues in November 2023. The model generates triangle meshes as sequences of triangles with a decoder-only transformer, and it improves shape coverage by 9% and FID scores by 30 points over earlier mesh generation methods.
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2024
ECVA and DAGM awards
The European Computer Vision Association gives her its Young Researcher Award in 2024 for her work on 3D scene reconstruction and semantic scene understanding. DAGM also grants her the German Pattern Recognition Award in 2024.
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2025–2026
Program Chair for CVPR 2026
She serves as Program Chair for Eurographics 2025 and for CVPR 2026.
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As of October 2026
Associate Professor at TUM
She is an Associate Professor at the Technical University of Munich, where she leads the 3D AI Lab. Her research aims to enable machines to understand, model and generate real-world 3D environments.
Career
- Since 2020Technical University of MunichAssociate Professor
Education
- 2018Stanford UniversityPhD in computer science
Sources and credits
Photo: We have no published photo of Angela Dai yet. Send us a free-licensed photo.
- Prof. Dr. Angela Dai
- Young Researcher Award 2022 – Angela Dai
- ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
- Prof. Angela Dai receives ERC Starting Grant
- MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
- Angela Dai Receives ECVA Young Researcher Award 2024
- Angela Dai Receives German Pattern Recognition Award 2024
- Team - 3D AI Lab


