Sayak Paul(@RisingSayak):We presented our work Flash-BoN on the 11th Sept at #ECCV26. It was a fulfilling experience, to say the least! @RawalRuchit told me about the idea in Hawai'i during ICCV'25, and I was immediately like, let's go! The origins of the work started with a curiosity: Change the metric for inference-time scaling algos in diffusion from number of function evals (NFE) to something more bounded, like wall-clock time. We decided to spend that (inference-time) precious compute exploring more candidates WITHOUT busting the tanks. It's so cool that Flash-BoN works across the board: T2I, T2V; different model scales; complements other techniques like BFS, ReflectionFlow; and even improves the convergence of Flow-GRPO. If you haven't checked it out yet, here's the link:

2026.09.13 15:05

We presented our work Flash-BoN on the 11th Sept at #ECCV26#. It was a fulfilling experience, to say the least! @RawalRuchit told me about the idea in Hawai'i during ICCV'25, and I was immediately like, let's go! The origins of the work started with a curiosity: Change the metric for inference-time scaling algos in diffusion from number of function evals (NFE) to something more bounded, like wall-clock time. We decided to spend that (inference-time) precious compute exploring more candidates WITHOUT busting the tanks. It's so cool that Flash-BoN works across the board: T2I, T2V; different model scales; complements other techniques like BFS, ReflectionFlow; and even improves the convergence of Flow-GRPO. If you haven't checked it out yet, here's the link: