We explore the task of embodied view synthesis from monocular videos of deformable
scenes. Given a minute-long RGBD video of people interacting with their pets, we render the …

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 …

Image view synthesis has seen great success in reconstructing photorealistic visuals, thanks
to deep learning and various novel representations. The next key step in immersive virtual …

We introduce an approach to enhance the novel view synthesis from images taken from a
freely moving camera. The introduced approach focuses on outdoor scenes where …

We introduce MultiDiff a novel approach for consistent novel view synthesis of scenes from a
single RGB image. The task of synthesizing novel views from a single reference image is …

View synthesis allows for the generation of new views of a scene given one or more images.
This is challenging; it requires comprehensively understanding the 3D scene from images …

Abstract We present Stable View Synthesis (SVS). Given a set of source images depicting a
scene from freely distributed viewpoints, SVS synthesizes new views of the scene. The …

We introduce Free3D a simple accurate method for monocular open-set novel view
synthesis (NVS). Similar to Zero-1-to-3 we start from a pre-trained 2D image generator for …

Rendering scenes observed in a monocular video from novel viewpoints is a challenging
problem. For static scenes the community has studied both scene-specific optimization …

We introduce EscherNet a multi-view conditioned diffusion model for view synthesis.
EscherNet learns implicit and generative 3D representations coupled with a specialised …