3 papers
cs.CV2026
Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning
Rogerio Guimaraes, Pietro Perona
Diffusion and flow-matching models dominate conditional image generation, yet inference-time scaling for these models is far less developed than for autoregressive language models.…
cs.CV2025
Diffusion-Based Action Recognition Generalizes to Untrained Domains
Rogerio Guimaraes, Frank Xiao, Pietro Perona +1
Humans can recognize the same actions despite large context and viewpoint variations, such as differences between species (walking in spiders vs. horses), viewpoints (egocentric vs…
cs.CV2024
Text-image Alignment for Diffusion-based Perception
Neehar Kondapaneni, Markus Marks, Manuel Knott +2
Diffusion models are generative models with impressive text-to-image synthesis capabilities and have spurred a new wave of creative methods for classical machine learning tasks. Ho…