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AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation. (arXiv:2204.13426v1 [cs.CV])
April 29, 2022, 1:10 a.m. | Mira Kim, Jaehoon Ko, Kyusun Cho, Junmyeong Choi, Daewon Choi, Seungryong Kim
cs.CV updates on arXiv.org arxiv.org
We propose a novel framework for 3D-aware object manipulation, called
Auto-Encoding Neural Radiance Fields (AE-NeRF). Our model, which is formulated
in an auto-encoder architecture, extracts disentangled 3D attributes such as 3D
shape, appearance, and camera pose from an image, and a high-quality image is
rendered from the attributes through disentangled generative Neural Radiance
Fields (NeRF). To improve the disentanglement ability, we present two losses,
global-local attribute consistency loss defined between input and output, and
swapped-attribute classification loss. Since training such …
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