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cs.CV2026
Knowledge Distillation for Visual Autoregressive Models
Elia Peruzzo, Aritra Bhowmik, Guillaume Sautiere +2
Autoregressive (AR) image generation models are highly expressive but computationally intensive, motivating effective model compression. Knowledge distillation (KD) is a natural ap…
cs.CV2026
Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference
Agata Żywot, Iason Skylitsis, Thijmen Nijdam +4
Text-to-image diffusion models like Stable Diffusion generate high-quality images from text, but lack a way to inject visual guidance (e.g. sketches, styles) at inference without r…