348 citations · 1.5k across the 43 of their papers we have counts for
5 papers · 1 filter
Layered Controllable Video Generation
Jiahui Huang, Yuhe Jin, Kwang Moo Yi +1
We introduce layered controllable video generation, where we, without any supervision, decompose the initial frame of a video into foreground and background layers, with which the…
LOLNeRF: Learn from One Look
Daniel Rebain, Mark Matthews, Kwang Moo Yi +2
We present a method for learning a generative 3D model based on neural radiance fields, trained solely from data with only single views of each object. While generating realistic i…
Deep Medial Fields
Daniel Rebain, Ke Li, Vincent Sitzmann +3
Implicit representations of geometry, such as occupancy fields or signed distance fields (SDF), have recently re-gained popularity in encoding 3D solid shape in a functional form.…
Convolutional neural network identification of galaxy post-mergers in UNIONS using IllustrisTNG
Robert W. Bickley, Connor Bottrell, Maan H. Hani +6
The Canada-France Imaging Survey (CFIS) will consist of deep, high-resolution r-band imaging over ~5000 square degrees of the sky, representing a first-rate opportunity to identify…
COTR: Correspondence Transformer for Matching Across Images
Wei Jiang, Eduard Trulls, Jan Hosang +2
We propose a novel framework for finding correspondences in images based on a deep neural network that, given two images and a query point in one of them, finds its correspondence…