5 citations · 10 across the 5 of their papers we have counts for
4 papers · 1 filter
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
Cameron Smith, Yilun Du, Ayush Tewari +1
Reconstruction of 3D neural fields from posed images has emerged as a promising method for self-supervised representation learning. The key challenge preventing the deployment of t…
Learning to Render Novel Views from Wide-Baseline Stereo Pairs
Yilun Du, Cameron Smith, Ayush Tewari +1
We introduce a method for novel view synthesis given only a single wide-baseline stereo image pair. In this challenging regime, 3D scene points are regularly observed only once, re…
Paint2Pix: Interactive Painting based Progressive Image Synthesis and Editing
Jaskirat Singh, Liang Zheng, Cameron Smith +1
Controllable image synthesis with user scribbles is a topic of keen interest in the computer vision community. In this paper, for the first time we study the problem of photorealis…
Intelli-Paint: Towards Developing Human-like Painting Agents
Jaskirat Singh, Cameron Smith, Jose Echevarria +1
The generation of well-designed artwork is often quite time-consuming and assumes a high degree of proficiency on part of the human painter. In order to facilitate the human painti…