3 papers
cs.CV2026
CaricHarmony: Contrastive Diffusion Paths for Identity-Preserving Caricature Synthesis
Dongyu Wang, Dar-Yen Chen, Yi-Zhe Song
Sketch-based caricature synthesis suffers from a fundamental failure mode: when identity and shape conditions are combined in diffusion models, they create destructive interference…
cs.CV2025
Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models
Dar-Yen Chen, Hmrishav Bandyopadhyay, Kai Zou +1
Negative guidance -- explicitly suppressing unwanted attributes -- remains a fundamental challenge in diffusion models, particularly in few-step sampling regimes. While Classifier-…
cs.CV2024
NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training
Dar-Yen Chen, Hmrishav Bandyopadhyay, Kai Zou +1
We introduce NitroFusion, a fundamentally different approach to single-step diffusion that achieves high-quality generation through a dynamic adversarial framework. While one-step…