Light field imaging has emerged as a technology allowing to capture richer visual
information from our world. As opposed to traditional photography, which captures a 2D …

A neural radiance field (NeRF) is a scene model supporting high-quality view synthesis,
optimized per scene. In this paper, we explore enabling user editing of a category-level …

A deep generative model such as a GAN learns to model a rich set of semantic and physical
rules about the target distribution, but up to now, it has been obscure how such rules are …

The remarkable generative capabilities of diffusion models have motivated extensive
research in both image and video editing. Compared to video editing which faces additional …

Given a set of poorly aligned images of the same visual concept without any annotations, we
propose an algorithm to jointly bring them into pixel-wise correspondence by estimating a …

We introduce a new example-based approach to video stylization, with a focus on
preserving the visual quality of the style, user controllability and applicability to arbitrary …

Let S be a smooth orientable surface embedded in R3 and let p be a point on S. We define
np to be the surface normal of S at p, TpS the tangent plane at p and TS the tangent bundle …

With dozens or even hundreds of photos in today's digital photo albums, editing an entire
album can be a daunting task. Existing automatic tools operate on individual photos without …

We present a thorough study to evaluate different light field editing interfaces, tools and
workflows from a user perspective. This is of special relevance given the multidimensional …

The main challenge in achieving good image morphs is to create a map that aligns
corresponding image elements. Our aim is to help automate this often tedious task. We …