83 citations · 230 across the 27 of their papers we have counts for
3 papers · 2 filters
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…
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…