Abstract: Autonomous navigation for Unmanned Aerial Vehicles (UAVs) presents significant challenges due to the limited onboard computational resources, which often restrict deployed deep neural ...
This work presents Depth Anything 3 (DA3), a model that predicts spatially consistent geometry from arbitrary visual inputs, with or without known camera poses. In pursuit of minimal modeling, DA3 ...
Abstract: We present Buffer Anytime, a framework for estimation of depth and normal maps (which we call geometric buffers) from video that eliminates the need for paired video–depth and video–normal ...