We present a method that synthesizes novel views of complex scenes by interpolating a
sparse set of nearby views. The core of our method is a network architecture that includes a …

Swarming micro/nanorobots offer great promise in performing targeted delivery inside
diverse hard-to-reach environments. However, swarm navigation in dynamic environments …

High-precision delivery of microrobots at the whole-body scale is of considerable importance
for efforts toward targeted therapeutic intervention. However, vision-based control of …

Double‐fibril network morphology (DFNM), in which the donor and the acceptor can self‐assemble
into a double‐fibril structure, is beneficial for exciton dissociation and charge …

Finding correspondences between images is a fundamental problem in computer vision. In
this paper, we show that correspondence emerges in image diffusion models without any …

We present a unified framework capable of solving a broad range of 3D tasks. Our approach
features a stateful recurrent model that continuously updates its state representation with …

Monocular dynamic reconstruction is a challenging and long-standing vision problem due
to the highly ill-posed nature of the task. Existing approaches depend on templates, are …

We present a system that allows for accurate, fast, and robust estimation of camera parameters
and depth maps from casual monocular videos of dynamic scenes. Most conventional …

This paper addresses the challenge of novel view synthesis for a human performer from a
very sparse set of camera views. Some recent works have shown that learning implicit neural …

Recovering dense and long-range pixel motion in videos is a challenging problem. Part of
the difficulty arises from the 3D-to-2D projection process leading to occlusions and …