Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

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 …

Abstract Neural Radiance Fields (NeRF) show remarkable ability to render novel views of a
certain scene by learning an implicit volumetric representation with only posed RGB images …

Neural radiance fields (NeRF) have brought tremendous progress to novel view synthesis.
Though NeRF enables the rendering of subtle details in a scene by learning from a dense …

In this paper, we present an efficient and robust deep learning solution for novel view
synthesis of complex scenes. In our approach, a 3D scene is represented as a light field, ie …

We present a new method for lightweight novel-view synthesis that generalizes to an
arbitrary forward-facing scene. Recent approaches are computationally expensive, require …

Representing scenes with multiple semitransparent colored layers has been a popular and
successful choice for real-time novel view synthesis. Existing approaches infer colors and …

Multi-view stereo can be used to rapidly create realistic virtual content, such as textured
meshes or a geometric proxy for free-viewpoint Image-Based Rendering (IBR). These …

Accurate alignment is crucial for video denoising. However, estimating alignment in noisy
environments is challenging. This paper introduces a cascading refinement video denoising …

Efficient rendering of photo-realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo-realistic …