Recovering the 3D representation of an object from single-view or multi-view RGB images
by deep neural networks has attracted increasing attention in the past few years. Several …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

3D reconstruction from a single image is a key problem in multiple applications ranging from
robotic manipulation to augmented reality. Prior methods have tackled this problem through …

Supervised 3D reconstruction has witnessed a significant progress through the use of deep
neural networks. However, this increase in performance requires large scale annotations of …

摘要三维重建在视觉方面具有很高的研究价值, 在机器人视觉导航, 智能车环境感知系统以及
虚拟现实中被广泛应用. 本文对**年来国内外基于视觉的三维重建方法的研究工作进行了总结和 …

Inria We introduce a method to compute intrinsic images for a multi-view set of outdoor
photos with cast shadows, taken under the same lighting. We use an automatic 3D …

We present a novel technique, termed attached shadow coding, for estimating surface
normals from shadows when the reflectance and lighting conditions are unknown. Our key …

We consider the problem of reconstructing the shape of a surface with an arbitrary, spatially
varying isotropic bidirectional reflectance distribution function (BRDF), and introduce a …

Abstract 3D reconstruction is a fundamental problem in computer vision, and the task is
especially challenging when the object to reconstruct is partially or fully occluded. We …

The generation of 3D models from a single image has recently received much attention,
based on which point cloud generation methods have been developed. However, most …