Search Results for author: Jiepeng Wang

Found 7 papers, 1 papers with code

StructRe: Rewriting for Structured Shape Modeling

no code implementations29 Nov 2023 Jiepeng Wang, Hao Pan, Yang Liu, Xin Tong, Taku Komura, Wenping Wang

Such a localized rewriting process enables probabilistic modeling of ambiguous structures and robust generalization across object categories.

Object

NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images

1 code implementation27 May 2023 YuAn Liu, Peng Wang, Cheng Lin, Xiaoxiao Long, Jiepeng Wang, Lingjie Liu, Taku Komura, Wenping Wang

We present a neural rendering-based method called NeRO for reconstructing the geometry and the BRDF of reflective objects from multiview images captured in an unknown environment.

Neural Rendering Object

Batch-based Model Registration for Fast 3D Sherd Reconstruction

no code implementations ICCV 2023 Jiepeng Wang, Congyi Zhang, Peng Wang, Xin Li, Peter J. Cobb, Christian Theobalt, Wenping Wang

In this work, we aim to develop a portable, high-throughput, and accurate reconstruction system for efficient digitization of fragments excavated in archaeological sites.

3D Reconstruction

Design of the PID temperature controller for an alkaline electrolysis system with time delays

no code implementations3 Oct 2022 Ruomei Qi, Jiarong Li, Jin Lin, Yonghua Song, Jiepeng Wang, Qiangqiang Cui, Yiwei Qiu, Ming Tang, Jian Wang

This paper focuses on the design of the PID temperature controller for an alkaline electrolysis system to achieve fast and stable temperature control.

NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors

no code implementations27 Jun 2022 Jiepeng Wang, Peng Wang, Xiaoxiao Long, Christian Theobalt, Taku Komura, Lingjie Liu, Wenping Wang

The key idea of NeuRIS is to integrate estimated normal of indoor scenes as a prior in a neural rendering framework for reconstructing large texture-less shapes and, importantly, to do this in an adaptive manner to also enable the reconstruction of irregular shapes with fine details.

3D Reconstruction Neural Rendering

Online Dynamic Parameter Estimation of an Alkaline Electrolysis System Based on Bayesian Inference

no code implementations8 Mar 2022 Xiaoyan Qiu, Hang Zhang, Yiwei Qiu, Buxiang Zhou, Tianlei Zang, Ruomei Qi, Jin Lin, Jiepeng Wang

When directly coupled with fluctuating energy sources such as wind and photovoltage power, the alkaline electrolysis (AEL) in a power-to-hydrogen (P2H) system is required to operate flexibly by dynamically adjusting its hydrogen production rate.

Bayesian Inference

Thermal Modelling and Controller Design of an Alkaline Electrolysis System under Dynamic Operating Conditions

no code implementations27 Feb 2022 Ruomei Qi, Jiarong Li, Jin Lin, Yonghua Song, Jiepeng Wang, Qiangqiang Cui, Yiwei Qiu, Ming Tang, Jian Wang

A control-oriented thermal model is established in the form of a third-order time-delay process, which is used for simulation and controller design.

Management

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