3D-aware scene manipulation via inverse graphics
We aim to obtain an interpretable, expressive, and disentangled scene representation that contains comprehensive structural and textural information for each object. Previous scene representations learned by neural networks are often uninterpretable, limited to a single object, or lacking 3D knowled...
Main Authors: | , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Neural Information Processing Systems Foundation, Inc.
2020
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Online Access: | https://hdl.handle.net/1721.1/124516 |