Xu et al., 2022 - Google Patents
Designing one unified framework for high-fidelity face reenactment and swappingXu et al., 2022
View PDF- Document ID
- 10517210380745041646
- Author
- Xu C
- Zhang J
- Han Y
- Tian G
- Zeng X
- Tai Y
- Wang Y
- Wang C
- Liu Y
- Publication year
- Publication venue
- European conference on computer vision
External Links
Snippet
Face reenactment and swapping share a similar identity and attribute manipulating pattern, but most methods treat them separately, which is redundant and practical-unfriendly. In this paper, we propose an effective end-to-end unified framework to achieve both tasks. Unlike …
- 238000004321 preservation 0 abstract description 20
Classifications
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- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
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- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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