Advancing vision with analysis-by-synthesis.
DINeMo: Learning Neural Mesh Models with no 3D Annotations
Weijie Guo, Guofeng Zhang, Wufei Ma, Alan Yuille
Technical Report, 2025
[arXiv] [webpage] [code]
ShapeABS: Robust 3D Shape Retrieval with Analysis-by-Synthesis
Naifu Liang, Wufei Ma, Guofeng Zhang, Alan Yuille
Technical Report, 2025
[code]
NOVUM: Neural Object Volumes for Robust Object Classification
Artur Jesslen, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan Yuille, Adam Kortylewski
In European Conference on Computer Vision, 2024
[arXiv] [code]
Neural textured deformable meshes for robust analysis-by-synthesis
Angtian Wang*, Wufei Ma*, Alan Yuille, Adam Kortylewski
In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
[arXiv]
Robust Category-Level 3D Pose Estimation from Diffusion-Enhanced Synthetic Data
Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan Yuille, Adam Kortylewski
In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
[arXiv]
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features
Wufei Ma, Angtian Wang, Alan Yuille, Adam Kortylewski
In European Conference on Computer Vision, 2022
[arXiv] [code]
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
Angtian Wang, Adam Kortylewski, Alan Yuille
In International Conference on Learning Representations, 2021
[arXiv] [code]
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