We present a novel multi-view implicit surface reconstruction technique, termed StreetSurf,
that is readily applicable to street view images in widely-used autonomous driving datasets …

This research focuses on the issue of single-image reflection removal (SIRR) in real-world
conditions examining it from two angles: the collection pipeline of real reflection pairs and …

Abstract Neural Radiance Fields (NeRF) have demonstrated exceptional capabilities in
creating photorealistic novel views using volume rendering on a radiance field. However …

We introduce a simple yet effective approach for separating transmitted and reflected light.
Our key insight is that the powerful novel view synthesis capabilities provided by modern …

Achieving 3D understanding of non-Lambertian objects is an important task with many
useful applications, but most existing algorithms struggle to deal with such objects. One …

Learning from multi-view images using neural implicit signed distance functions shows
impressive performance on 3D Reconstruction of opaque objects. However, existing …

Transparent and reflective objects, which are common in our everyday lives, present a
significant challenge to 3D imaging techniques due to their unique visual and optical …

In this paper, we introduce L-DiffER, a language-based diffusion model designed for the ill-
posed single image reflection removal task. Although having shown impressive performance …

Light fields capture 3D scene information by recording light rays emitted from a scene at
various orientations. They offer a more immersive perception, compared with classic 2D …

Neural implicit surface reconstruction leveraging volume rendering has led to significant
advances in multi-view reconstruction. However results for transparent objects can be very …