FluSplat trains a model with geometric alignment constraints on multi-view edits to produce consistent 3D scene edits from sparse views in a single forward pass without test-time optimization.
arXiv preprint arXiv:2306.12624 (2023)
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CV 3years
2026 3verdicts
UNVERDICTED 3roles
method 1polarities
use method 1representative citing papers
PostureObjectStitch generates assembly-aware anomaly images by decoupling multi-view features into high-frequency, texture and RGB components, modulating them temporally in a diffusion model, and applying conditional loss plus geometric priors to preserve correct component relationships.
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.
citing papers explorer
-
FluSplat: Sparse-View 3D Editing without Test-Time Optimization
FluSplat trains a model with geometric alignment constraints on multi-view edits to produce consistent 3D scene edits from sparse views in a single forward pass without test-time optimization.
-
PostureObjectstitch: Anomaly Image Generation Considering Assembly Relationships in Industrial Scenarios
PostureObjectStitch generates assembly-aware anomaly images by decoupling multi-view features into high-frequency, texture and RGB components, modulating them temporally in a diffusion model, and applying conditional loss plus geometric priors to preserve correct component relationships.
-
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.