RAVA retrieves view-consistent target-subject images via a learned cross-instance embedding and LogDet subset selection, then uses them in a multi-reference generator to improve cross-subject viewpoint alignment.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
RAVA: Retrieval-Augmented Viewpoint Alignment for Subject-Driven Image Generation
RAVA retrieves view-consistent target-subject images via a learned cross-instance embedding and LogDet subset selection, then uses them in a multi-reference generator to improve cross-subject viewpoint alignment.