M
Maxim Tatarchenko
Researcher at University of Freiburg
Publications - 22
Citations - 3294
Maxim Tatarchenko is an academic researcher from University of Freiburg. The author has contributed to research in topics: Point cloud & Object (computer science). The author has an hindex of 12, co-authored 21 publications receiving 2408 citations. Previous affiliations of Maxim Tatarchenko include Bosch.
Papers
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Proceedings ArticleDOI
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
TL;DR: In this paper, a deep convolutional decoder architecture is proposed to generate volumetric 3D outputs in a compute-and memory-efficient manner by using an octree representation.
Book ChapterDOI
Multi-view 3D Models from Single Images with a Convolutional Network
TL;DR: In this paper, a convolutional network is trained on renderings of synthetic 3D models of cars and chairs to predict an RGB image and a depth map of the object as seen from an arbitrary view.
Proceedings ArticleDOI
Tangent Convolutions for Dense Prediction in 3D
TL;DR: Tangent convolutions as discussed by the authors is a new construction for convolutional networks on 3D data that operates directly on surface geometry and is applicable to unstructured point clouds and other noisy real-world data.
Posted Content
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
TL;DR: A deep convolutional decoder architecture that can generate volumetric 3D outputs in a compute- and memory-efficient manner by using an octree representation that learns to predict both the structure of the octree, and the occupancy values of individual cells.
Proceedings ArticleDOI
What Do Single-View 3D Reconstruction Networks Learn?
TL;DR: This work sets up two alternative approaches that perform image classification and retrieval respectively and shows that encoder-decoder methods are statistically indistinguishable from these baselines, indicating that the current state of the art in single-view object reconstruction does not actually perform reconstruction but image classification.