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Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Publications
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New and Featured
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Team
News
People
Collaborations
Academic
AI Research Residency
Government
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3D DL
Applied Research
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Learning & Perception
Perception, Action, & Reseasoning DL
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Jon Hasselgren
Publications
2023
Joint Neural Denoising of Surfaces and Volumes
Nikolai Hofmann,
Jon Hasselgren
,
Jacob Munkberg
I3D 2023 (to appear)
2022
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Jon Hasselgren
, Nikolai Hofmann,
Jacob Munkberg
NeurIPS 2022 (to appear)
2021
Extracting Triangular 3D Models, Materials, and Lighting From Images
Jacob Munkberg
,
Jon Hasselgren
, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans,
Thomas Müller
, Sanja Fidler
CVPR 2022 (Oral)
Appearance-Driven Automatic 3D Model Simplification
Jon Hasselgren
,
Jacob Munkberg
,
Jaakko Lehtinen
,
Miika Aittala
,
Samuli Laine
EGSR 2021
Interactive Path Tracing and Reconstruction of Sparse Volumes
Nikolai Hofmann,
Jon Hasselgren
,
Petrik Clarberg
,
Jacob Munkberg
Proceedings of the ACM on Computer Graphics and Interactive Techniques
Best Paper Presentation, i3D 2021
2020
Neural Denoising with Layer Embeddings
Jacob Munkberg
,
Jon Hasselgren
EGSR 2020
Neural Temporal Adaptive Sampling and Denoising
Jon Hasselgren
,
Jacob Munkberg
,
Marco Salvi
, Anjul Patney,
Aaron Lefohn
Computer Graphics Forum (Proceedings of Eurographics 2020)
2018
Noise2Noise: Learning Image Restoration without Clean Data
Jaakko Lehtinen,
Jacob Munkberg
,
Jon Hasselgren
,
Samuli Laine
,
Tero Karras
, Miika Aittala,
Timo Aila
Proc. ICML 2018