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Related papers: Real-Time 3D Shape of Micro-Details

200 papers

3D face reconstruction from a single image is a classical and challenging problem, with wide applications in many areas. Inspired by recent works in face animation from RGB-D or monocular video inputs, we develop a novel method for…

Computer Vision and Pattern Recognition · Computer Science 2018-08-01 Luo Jiang , Juyong Zhang , Bailin Deng , Hao Li , Ligang Liu

A detailed analysis of ptychography for 3D phase reconstructions of thick specimens is performed. We introduce multi-focus ptychography, which incorporates a 4D-STEM defocus series to enhance the quality of 3D reconstructions along the beam…

We are witnessing an explosion of neural implicit representations in computer vision and graphics. Their applicability has recently expanded beyond tasks such as shape generation and image-based rendering to the fundamental problem of…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Jiaming Sun , Xi Chen , Qianqian Wang , Zhengqi Li , Hadar Averbuch-Elor , Xiaowei Zhou , Noah Snavely

We propose a novel method to reconstruct the 3D shapes of transparent objects using hand-held captured images under natural light conditions. It combines the advantage of explicit mesh and multi-layer perceptron (MLP) network, a hybrid…

Computer Vision and Pattern Recognition · Computer Science 2023-03-30 Jiamin Xu , Zihan Zhu , Hujun Bao , Weiwei Xu

Recent advances in radiance fields and novel view synthesis enable creation of realistic digital twins from photographs. However, current methods struggle with flat, texture-less surfaces, creating uneven and semi-transparent…

Computer Vision and Pattern Recognition · Computer Science 2025-09-24 Maria Taktasheva , Lily Goli , Alessandro Fiorini , Zhen Li , Daniel Rebain , Andrea Tagliasacchi

This paper propose a interactive 3D modeling method and corresponding system based on single or multiple uncalibrated images. The main feature of this method is that, according to the modeling habits of ordinary people, the 3D model of the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Zhi He , Rui Wang , Wei Hua , Yuchi Huo

Reconstruction of a 3D shape from a single 2D image is a classical computer vision problem, whose difficulty stems from the inherent ambiguity of recovering occluded or only partially observed surfaces. Recent methods address this challenge…

Computer Vision and Pattern Recognition · Computer Science 2020-02-04 Yuan Yao , Nico Schertler , Enrique Rosales , Helge Rhodin , Leonid Sigal , Alla Sheffer

Knowledge of 3-D object shape is of great importance to robot manipulation tasks, but may not be readily available in unstructured environments. While vision is often occluded during robot-object interaction, high-resolution tactile sensors…

Robotics · Computer Science 2022-03-11 Sudharshan Suresh , Zilin Si , Joshua G. Mangelson , Wenzhen Yuan , Michael Kaess

We introduce a novel learning-based method to reconstruct the high-quality geometry and complex, spatially-varying BRDF of an arbitrary object from a sparse set of only six images captured by wide-baseline cameras under collocated point…

Computer Vision and Pattern Recognition · Computer Science 2020-07-07 Sai Bi , Zexiang Xu , Kalyan Sunkavalli , David Kriegman , Ravi Ramamoorthi

Robotic manipulation systems operating in complex environments rely on perception systems that provide information about the geometry (pose and 3D shape) of the objects in the scene along with other semantic information such as object…

Robotics · Computer Science 2023-05-17 Shubham Agrawal , Nikhil Chavan-Dafle , Isaac Kasahara , Selim Engin , Jinwook Huh , Volkan Isler

Reconstructing the 3D shape of an object using several images under different light sources is a very challenging task, especially when realistic assumptions such as light propagation and attenuation, perspective viewing geometry and…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Fotios Logothetis , Ignas Budvytis , Roberto Mecca , Roberto Cipolla

Humans build 3D understandings of the world through active object exploration, using jointly their senses of vision and touch. However, in 3D shape reconstruction, most recent progress has relied on static datasets of limited sensory data…

Computer Vision and Pattern Recognition · Computer Science 2021-10-27 Edward J. Smith , David Meger , Luis Pineda , Roberto Calandra , Jitendra Malik , Adriana Romero , Michal Drozdzal

Radiance field methods represent the state of the art in reconstructing complex scenes from multi-view photos. However, these reconstructions often suffer from one or both of the following limitations: First, they typically represent scenes…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Chao Wang , Krzysztof Wolski , Bernhard Kerbl , Ana Serrano , Mojtaba Bemana , Hans-Peter Seidel , Karol Myszkowski , Thomas Leimkühler

3D shape reconstruction is a primary component of augmented/virtual reality. Despite being highly advanced, existing solutions based on RGB, RGB-D and Lidar sensors are power and data intensive, which introduces challenges for deployment in…

Computer Vision and Pattern Recognition · Computer Science 2020-12-11 Alexis Baudron , Zihao W. Wang , Oliver Cossairt , Aggelos K. Katsaggelos

Reconstructing an object's high-quality 3D shape with inherent spectral reflectance property, beyond typical device-dependent RGB albedos, opens the door to applications requiring a high-fidelity 3D model in terms of both geometry and…

Computer Vision and Pattern Recognition · Computer Science 2021-04-16 Chunyu Li , Yusuke Monno , Masatoshi Okutomi

3D face reconstruction technology aims to generate a face stereo model naturally and realistically. Previous deep face reconstruction approaches are typically designed to generate convincing textures and cannot generalize well to multiple…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Dapeng Zhao , Yue Qi

This paper presents a new method for 3D shape reconstruction based on two existing methods. A 3D reconstruction from a single photograph is introduced by both papers: the first one uses a photograph and a set of existing 3D model to…

Computer Vision and Pattern Recognition · Computer Science 2017-05-16 Yong Khoo

The latest developments in 3D capturing, processing, and rendering provide means to unlock novel 3D application pathways. The main elements of an integrated platform, which target tele-immersion and future 3D applications, are described in…

Computer Vision and Pattern Recognition · Computer Science 2023-04-06 Dimitrios S. Alexiadis , Anargyros Chatzitofis , Nikolaos Zioulis , Olga Zoidi , Georgios Louizis , Dimitrios Zarpalas , Petros Daras

We present a novel method for real-time pose and shape reconstruction of two strongly interacting hands. Our approach is the first two-hand tracking solution that combines an extensive list of favorable properties, namely it is marker-less,…

Computer Vision and Pattern Recognition · Computer Science 2021-06-16 Franziska Mueller , Micah Davis , Florian Bernard , Oleksandr Sotnychenko , Mickeal Verschoor , Miguel A. Otaduy , Dan Casas , Christian Theobalt

We present a fully automatic system that can produce high-fidelity, photo-realistic 3D digital human heads with a consumer RGB-D selfie camera. The system only needs the user to take a short selfie RGB-D video while rotating his/her head,…

Computer Vision and Pattern Recognition · Computer Science 2021-06-30 Linchao Bao , Xiangkai Lin , Yajing Chen , Haoxian Zhang , Sheng Wang , Xuefei Zhe , Di Kang , Haozhi Huang , Xinwei Jiang , Jue Wang , Dong Yu , Zhengyou Zhang