3 citations · 9 across the 7 of their papers we have counts for
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cs.CV2024★ 1 cited
Vid3D: Synthesis of Dynamic 3D Scenes using 2D Video Diffusion
Rishab Parthasarathy, Zachary Ankner, Aaron Gokaslan
A recent frontier in computer vision has been the task of 3D video generation, which consists of generating a time-varying 3D representation of a scene. To generate dynamic 3D scen…
cs.CV2023★ 2 cited
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
Aaron Gokaslan, A. Feder Cooper, Jasmine Collins +6
We assemble a dataset of Creative-Commons-licensed (CC) images, which we use to train a set of open diffusion models that are qualitatively competitive with Stable Diffusion 2 (SD2…