3 papers
cs.LG2026
ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling
Chirag Vashist, Ke Li
Generative models have undergone many generations of evolution, from VAEs/GANs to diffusion/flow matching. Along the way, the underlying techniques have become more complicated and…
cs.CV2026
One Pass Is Not Enough: Recursive Latent Refinement for Generative Models
Mehdi Esmaeilzadeh, Alexia Jolicoeur-Martineau, Chirag Vashist +1
Despite remarkable progress, image generation is far from solved. The dominant metric, FID, conflates sample fidelity with mode coverage and is close to being saturated. Yet a mode…
eess.IV2025
Global Motion Corresponder for 3D Point-Based Scene Interpolation under Large Motion
Junru Lin, Chirag Vashist, Mikaela Angelina Uy +4
Existing dynamic scene interpolation methods typically assume that the motion between consecutive timesteps is small enough so that displacements can be locally approximated by lin…