11 citations · 38 across the 16 of their papers we have counts for
8 papers · 1 filter
Mixture of neural fields for heterogeneous reconstruction in cryo-EM
Axel Levy, Rishwanth Raghu, David Shustin +5
Cryo-electron microscopy (cryo-EM) is an experimental technique for protein structure determination that images an ensemble of macromolecules in near-physiological contexts. While…
Geometric Algebra Planes: Convex Implicit Neural Volumes
Irmak Sivgin, Sara Fridovich-Keil, Gordon Wetzstein +1
Volume parameterizations abound in recent literature, from the classic voxel grid to the implicit neural representation and everything in between. While implicit representations ha…
Neural Control Variates with Automatic Integration
Zilu Li, Guandao Yang, Qingqing Zhao +4
This paper presents a method to leverage arbitrary neural network architecture for control variates. Control variates are crucial in reducing the variance of Monte Carlo integratio…
Robust Symmetry Detection via Riemannian Langevin Dynamics
Jihyeon Je, Jiayi Liu, Guandao Yang +5
Symmetries are ubiquitous across all kinds of objects, whether in nature or in man-made creations. While these symmetries may seem intuitive to the human eye, detecting them with a…
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion
Boyang Deng, Richard Tucker, Zhengqi Li +3
We present a method for generating Streetscapes-long sequences of views through an on-the-fly synthesized city-scale scene. Our generation is conditioned by language input (e.g., c…
ThermalNeRF: Thermal Radiance Fields
Yvette Y. Lin, Xin-Yi Pan, Sara Fridovich-Keil +1
Thermal imaging has a variety of applications, from agricultural monitoring to building inspection to imaging under poor visibility, such as in low light, fog, and rain. However, r…
HumanPlus: Humanoid Shadowing and Imitation from Humans
Zipeng Fu, Qingqing Zhao, Qi Wu +2
One of the key arguments for building robots that have similar form factors to human beings is that we can leverage the massive human data for training. Yet, doing so has remained…
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors
Axel Levy, Eric R. Chan, Sara Fridovich-Keil +3
The interaction of a protein with its environment can be understood and controlled via its 3D structure. Experimental methods for protein structure determination, such as X-ray cry…