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We introduce TM-NET, a novel deep generative model for synthesizing textured meshes in a part-aware manner.
Texture Synthesis by Non-parametric Sampling. In ICCV . 1033–1038
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3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks. In Proc. of the International Conference on 3D Vision (3DV)
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High-Resolution Multi-Scale Neural Texture Synthesis. In SIGGRAPH ASIA 2017 Technical Briefs (SA ’17) . ACM
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Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency. In CVPR . 2626–2634
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AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. In CVPR . 216–224
Learning to Generate Dense Point Clouds with Textures on Multiple Categories
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Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, and Leonidas Guibas. 2019a · 2019
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Texture Fields: Learning Texture Representations in Function Space. In ICCV . 4531–4540
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Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan Russell, and Mathieu Aubry. 2018 · 2018
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Learning Category-Specific Mesh Reconstruction from Image Collections. In ECCV . 371–386
Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, and Jitendra Malik. 2018 · 2018
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Matryoshka networks: Predicting 3D geometry via nested shape layers. In CVPR
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Multi-view to Novel View: Synthesizing Novel Views with Self-Learned Confidence. In ECCV
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Non-stationary Texture Synthesis by Adversarial Expansion
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DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. In CVPR . 165–174
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Amit Raj, Cusuh Ham, Connelly Barnes, Vladimir Kim, Jingwan Lu, and James Hays. 2019 · 2019
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Generating Diverse High-Resolution Images with VQ-VAE. In Deep Generative Models for Highly Structured Data, ICLR 2019 Workshop, New Orleans, Louisiana, United States, May 6, 2019 . OpenReview.net
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Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. In NeurIPS
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein. 2019 · 2019
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SAGNet: Structure-aware Generative Network for 3D-Shape Modeling
Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, and Hui Huang. 2019 · 2019
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Disn: Deep implicit surface network for high-quality single-view 3d reconstruction
Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomir Mech, and Ulrich Neumann. 2019 · 2019
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BSP-NET: Generating Compact Meshes via Binary Space Partitioning. In CVPR
Zhiqin Chen, Andrea Tagliasacchi, and Hao Zhang. 2020 · 2020
Closest in time.
GeLaTO: Generative Latent Textured Objects. In ECCV
Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, and Dan B Goldman. 2020 · 2020
Closest in time.
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision. In CVPR
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger. 2020 · 2020
Closest in time.
Convolutional Generation of Textured 3D Meshes
Dario Pavllo, Graham Spinks, Thomas Hofmann, Marie-Francine Moens, and Aurelien Lucchi. 2020 · 2020
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D2IM-Net: Learning Detail Disentangled Implicit Fields from Single Images. In CVPR
Manyi Li and Hao Zhang. 2021 · 2021
Closest in time.