3D Vision

Haoxuan Han, Weijie Wang, Zeyu Zhang et al.

DDP shows that deliberately blurring images can make AI answer visual questions more accurately by forcing it to focus on core structures instead of distracting details. This flips conventional wisdom—less data can mean better performance, and it’s easy to plug into existing VQA systems.

Ahan Shabanov, Peter Hedman, Ethan Weber et al.

This paper changes how 3D scenes are built by removing the need for a rigid grid structure, allowing for more efficient and detailed models from just a few photos. It solves the problem of missing data in unobserved areas by generating plausible details rather than leaving gaps. Practitioners can use this to create lighter, faster 3D assets for games or VR without needing extensive camera rigs.