Tiny-Engram uses small n-gram-indexed memory tables to bind trigger phrases to target visual identities in diffusion models while preserving compositional control from the surrounding prompt.
Multi-concept customization of text-to-image diffusion
2 Pith papers cite this work. Polarity classification is still indexing.
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Flow matching velocity fields are governed solely by conditional endpoint means, so changing the reference-set mean steers generation without parameter updates.
citing papers explorer
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Tiny-Engram: Trigger-Indexed Concept Tables for Generative Vision
Tiny-Engram uses small n-gram-indexed memory tables to bind trigger phrases to target visual identities in diffusion models while preserving compositional control from the surrounding prompt.
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Follow the Mean: Reference-Guided Flow Matching
Flow matching velocity fields are governed solely by conditional endpoint means, so changing the reference-set mean steers generation without parameter updates.