Self-supervised intrinsic image decomposition
Intrinsic decomposition from a single image is a highly challenging task, due to its inherent ambiguity and the scarcity of training data. In contrast to traditional fully supervised learning approaches, in this paper we propose learning intrinsic image decomposition by explaining the input image. O...
| Main Authors: | , , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Neural Information Processing Systems Foundation, Inc.,
2020-08-18T20:51:53Z.
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| Subjects: | |
| Online Access: | Get fulltext |