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cs.CV2026
VGGTWorld-VLA: Intent-Conditioned 3D World Evolution for Autonomous Driving
Zhaoyang Liu, Kun Jiang, Ziying Song +1
VGGT provides a strong foundation for geometry-centric world models by recovering unified 3D scene geometry from visual observations. Although recent extensions enable temporal 3D…
cs.CV2026
Envision4D: Envisioning Visual Futures via Feed-forward 4D Gaussian Splatting for Autonomous Driving
Qi Song, Yifei He, Chi Zhang +6
Forecasting the future evolution of dynamic scenes is crucial in autonomous driving. However, existing feed-forward paradigms are primarily designed for interpolation. When extende…