Bardienus Pieter Duisterhof

Achieving higher novel-view quality in 3D scene generation without requiring dense volumetric representations or ground-truth supervision is a game changer for practical applications.

Joint image-depth generation can be achieved with a single model trained on sparse data, outperforming existing methods by a significant margin.

Robots can now learn manipulation skills from ordinary human videos, thanks to a 3D point tracking method that bridges the embodiment gap and requires only 20 robot demonstrations.