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The long-coveted task of reconstructing 3D geometry from images is still a standing problem.
“Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning”, 2019
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Haoqiang Fan, Hao Su and Leonidas Guibas · 2016
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Matheus Gadelha, Subhransu Maji and Rui Wang · 2016
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Danilo Rezende et al · 2016
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Xinchen Yan et al · 2016
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“Learning Representations and Generative Models for 3D Point Clouds”, 2017
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas and Leonidas Guibas · 2017
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“Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency”, 2017
Shubham Tulsiani, Tinghui Zhou, Alexei. Efros and Jitendra Malik · 2017
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“Weakly supervised 3D Reconstruction with Adversarial Constraint”, 2017
“DeformNet: Free-form deformation network for 3D shape reconstruction from a single image”
Andrey Kurenkov et al · 2018
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Philipp Henzler, Niloy Mitra and Tobias Ritschel · 2018
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“Visual Object Networks: Image Generation with Disentangled 3D Representation”, 2018
Jun-Yan Zhu et al · 2018
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Navaneet L, Priyanka Mandikal, Mayank Agarwal and R. Babu · 2018
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“Neural 3D Mesh Renderer”, 2017
Hiroharu Kato, Yoshitaka Ushiku and Tatsuya Harada · 2018
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JunYoung Gwak et al · 2017
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“MarrNet: 3D Shape Reconstruction via 2.5D Sketches”, 2017
Jiajun Wu et al · 2017
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“Synthesizing Robust Adversarial Examples”, 2017
Anish Athalye, Logan Engstrom, Andrew Ilyas and Kevin Kwok · 2017
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“Learning detailed face reconstruction from a single image”
Elad Richardson, Matan Sela, Roy Or-El and Ron Kimmel · 2017
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“Inverse Transport Networks”, 2018
Chengqian Che et al · 2018
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“Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision”, 2018
Paul Henderson and Vittorio Ferrari · 2018
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“First Experiments with Neural Translation of Informal to Formal Mathematics”, 2018
Qingxiang Wang, Cezary Kaliszyk and Josef Urban · 2018
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“Learning Category-Specific Mesh Reconstruction from Image Collections”, 2018
Angjoo Kanazawa, Shubham Tulsiani, Alexei. Efros and Jitendra Malik · 2018
Cited alongside, same era.
Later among the works it cites.
“Differentiable Monte Carlo ray tracing through edge sampling”
Tzu-Mao Li, Miika Aittala, Fredo Durand and Jaakko Lehtinen · 2018
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“Adversarial Geometry and Lighting using a Differentiable Renderer”, 2018
Hsueh-Ti Liu et al · 2018
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“LIME: Live Intrinsic Material Estimation”, 2018
Abhimitra Meka et al · 2018
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“3D-RCNN: Instance-level 3D Object Reconstruction via Render-and-Compare”
Abhijit Kundu, Yin Li and James. Rehg · 2018
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“RenderNet: A deep convolutional network for differentiable rendering from 3D shapes”, 2018
Thu Nguyen-Phuoc, Chuan Li, Stephen Balaban and Yong-Liang Yang · 2018
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“Neural scene representation and rendering”
S..Ali Eslami et al · 2018
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“Towards Shape Reconstruction through Differentiable Rendering”, MSc Thesis, 2019
Sai Bangaru · 2019
Closest in time.
“End-to-End 6-DoF Object Pose Estimation Through Differentiable Rasterization”, 2019, pp. 702–715
Andrea Palazzi, Luca Bergamini, Simone Calderara and Rita Cucchiara · 2019
Closest in time.