4 citations · 6 across the 8 of their papers we have counts for
3 papers · 1 filter
Scaling Properties of Diffusion Models for Perceptual Tasks
Rahul Ravishankar, Zeeshan Patel, Jathushan Rajasegaran +1
In this paper, we argue that iterative computation with diffusion models offers a powerful paradigm for not only generation but also visual perception tasks. We unify tasks such as…
Wolf: Dense Video Captioning with a World Summarization Framework
Boyi Li, Ligeng Zhu, Ran Tian +20
We propose Wolf, a WOrLd summarization Framework for accurate video captioning. Wolf is an automated captioning framework that adopts a mixture-of-experts approach, leveraging comp…
Synthesizing Moving People with 3D Control
Boyi Li, Junming Chen, Jathushan Rajasegaran +3
In this paper, we present a diffusion model-based framework for animating people from a single image for a given target 3D motion sequence. Our approach has two core components: a)…