59 citations · 177 across the 18 of their papers we have counts for
27 papers · 1 filter
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene
Animesh Karnewar, Oliver Wang, Tobias Ritschel +1
We introduce 3inGAN, an unconditional 3D generative model trained from 2D images of a single self-similar 3D scene. Such a model can be used to produce 3D "remixes" of a given scen…
Neural Volumetric Object Selection
Zhongzheng Ren, Aseem Agarwala, Bryan Russell +2
We introduce an approach for selecting objects in neural volumetric 3D representations, such as multi-plane images (MPI) and neural radiance fields (NeRF). Our approach takes a set…
Layered Neural Atlases for Consistent Video Editing
Yoni Kasten, Dolev Ofri, Oliver Wang +1
We present a method that decomposes, or "unwraps", an input video into a set of layered 2D atlases, each providing a unified representation of the appearance of an object (or backg…
GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes
Youssef A. Mejjati, Isa Milefchik, Aaron Gokaslan +3
We present an algorithm that learns a coarse 3D representation of objects from unposed multi-view 2D mask supervision, then uses it to generate detailed mask and image texture. In…
Sampling Based Scene-Space Video Processing
Felix Klose, Oliver Wang, Jean-Charles Bazin +2
Many compelling video processing effects can be achieved if per-pixel depth information and 3D camera calibrations are known. However, the success of such methods is highly depende…
DuctTake: Spatiotemporal Video Compositing
Jan Rueegg, Oliver Wang, Aljoscha Smolic +1
DuctTake is a system designed to enable practical compositing of multiple takes of a scene into a single video. Current industry solutions are based around object segmentation, a h…