Learning Generative Models of Textured 3D Meshes from Real-World Images-Reference-Cited by-同舟云学术

Learning Generative Models of Textured 3D Meshes from Real-World Images

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Pavllo Dario¹,Kohler Jonas¹,Hofmann Thomas¹,Lucchi Aurelien¹

Affiliation:

1. ETH Zurich,Department of Computer Science

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711268.pdf?arnumber=9711268

Reference56 articles.

1. Convolutional generation of textured 3d meshes;pavllo;Advances in Neural IInformation Processing Systems,2020

2. Controlling Style and Semantics in Weakly-Supervised Image Generation

3. Challenging common assumptions in the unsupervised learning of disentangled representations;locatello;International Conference on Machine Learning (ICML),2019

4. Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning

5. Beyond pixel norm-balls: Parametric adversaries using an analytically differentiable renderer;liu;International Conference on Learning Representations,2019

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