22 citations · 53 across the 8 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CV2024★ 1 cited
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation
Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su +8
Training diffusion models for audiovisual sequences allows for a range of generation tasks by learning conditional distributions of various input-output combinations of the two mod…
cs.CV2024
CamViG: Camera Aware Image-to-Video Generation with Multimodal Transformers
Andrew Marmon, Grant Schindler, José Lezama +3
We extend multimodal transformers to include 3D camera motion as a conditioning signal for the task of video generation. Generative video models are becoming increasingly powerful,…