ECCV Oral Session - Generative Camera Dolly:Extreme Monocular Dynamic Novel View Synthesis
We are proud to have played a small role in this groundbreaking research! Through our partnership with Toyota Research Institute we provided 2.4 Tb of synthetic data, comprised of 1500 scenes covering diverse environments, traffic patterns, vehicles, pedestrians, and weather conditions. Each scene contained synchronized videos from 19 camera viewpoints, with RGB, depth, optical flow, surface normals, semantic segmentation, instance segmentation, and bounding boxes.
Congratulations Basile Van Hoorick, Rundi Wu, Ege O., Kyle Sargent, Ruoshi Liu, Pavel Tokmakov, Achal Dave, Changxi Zheng, and Carl Vondrick on your #ECCV2024 oral session and accepted paper, "Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis"!