AnchorFlow predicts image-conditioned sparse anchor point fields to resolve into ordered Bezier paths, then uses rendering feedback to correct errors, yielding SVGs with reduced editable complexity and competitive fidelity.
Bovik, Hamid R
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AtteConDA adds attention-based conflict suppression to multi-condition diffusion models so that generated driving-scene images retain richer structural cues from the original annotations.
citing papers explorer
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AnchorFlow: Editable SVG Reconstruction via Sparse Anchor Point Fields
AnchorFlow predicts image-conditioned sparse anchor point fields to resolve into ordered Bezier paths, then uses rendering feedback to correct errors, yielding SVGs with reduced editable complexity and competitive fidelity.
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AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation
AtteConDA adds attention-based conflict suppression to multi-condition diffusion models so that generated driving-scene images retain richer structural cues from the original annotations.