Project Name	Stars	Most Recent Commit	Open Issues	Language
2dimageto3dmodel	190	2 years ago	5	Python
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
Avatarme	158	7 months ago
Public repository for the CVPR 2020 paper AvatarMe and the TPAMI 2021 AvatarMe++
Unity Neural Rendering	18	5 years ago		C#
Use Generative Adversarial Networks (GANs) to Render in Unity
Megascans Rendering	8	a year ago		Python
Rendering code for Megascans from "EpiGRAF: Rethinking training of 3D GANs" [NeurIPS 2022]

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2dimageto3dmodel ⭐ 190

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

most recent commit 2 years ago

Avatarme ⭐ 158

Public repository for the CVPR 2020 paper AvatarMe and the TPAMI 2021 AvatarMe++

most recent commit 7 months ago

Unity Neural Rendering ⭐ 18

Use Generative Adversarial Networks (GANs) to Render in Unity

most recent commit 5 years ago

Megascans Rendering ⭐ 8

Rendering code for Megascans from "EpiGRAF: Rethinking training of 3D GANs" [NeurIPS 2022]

most recent commit a year ago

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Megascans Rendering vs 2dimageto3dmodel

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