We address the problem of novel view synthesis: given an input image, synthesizing new
images of the same object or scene observed from arbitrary viewpoints. We approach this as …

Training a generic objectness measure to produce a small set of candidate object windows,
has been shown to speed up the classical sliding window object detection paradigm. We …

Detecting visually salient regions in images is one of the fundamental problems in computer
vision. We propose a novel method to decompose an image into large scale perceptually …

We present a novel approach for synthesizing photo-realistic images of people in arbitrary
poses using generative adversarial learning. Given an input image of a person and a …

How to generate multi-view images with realistic-looking appearance from only a single
view input is a challenging problem. In this paper, we attack this problem by proposing a …

Both 3D models and 2D images contain a wealth of information about everyday objects in
our environment. However, it is difficult to semantically link together these two media forms …

Diffusion handles is a novel approach to enable 3D object edits on diffusion images
requiring only existing pre-trained diffusion models depth estimation without any fine-tuning …

We introduce an interactive technique for manipulating simple 3D shapes based on
extracting them from a single photograph. Such extraction requires understanding of the …

Our goal is to recover a complete 3D model from a depth image of an object. Existing
approaches rely on user interaction or apply to a limited class of objects, such as chairs. We …

We propose to recover 3D shape structures from single RGB images, where structure refers
to shape parts represented by cuboids and part relations encompassing connectivity and …