Search Results for author: Shuang Zhao

Found 17 papers, 3 papers with code

ReflectanceFusion: Diffusion-based text to SVBRDF Generation

no code implementations25 Apr 2024 Bowen Xue, Giuseppe Claudio Guarnera, Shuang Zhao, Zahra Montazeri

We introduce Reflectance Diffusion, a new neural text-to-texture model capable of generating high-fidelity SVBRDF maps from textual descriptions.

NeRF as a Non-Distant Environment Emitter in Physics-based Inverse Rendering

no code implementations7 Feb 2024 Jingwang Ling, Ruihan Yu, Feng Xu, Chun Du, Shuang Zhao

Physics-based inverse rendering enables joint optimization of shape, material, and lighting based on captured 2D images.

Inverse Rendering

RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction

1 code implementation26 Sep 2023 Song-Li Wu, Liang Du, Jia-Qi Yang, Yu-Ai Wang, De-Chuan Zhan, Shuang Zhao, Zi-Xun Sun

Click-through rate (CTR) prediction is a critical task in recommendation systems, serving as the ultimate filtering step to sort items for a user.

Click-Through Rate Prediction Recommendation Systems +1

A Hierarchical Architecture for Neural Materials

no code implementations19 Jul 2023 Bowen Xue, Shuang Zhao, Henrik Wann Jensen, Zahra Montazeri

Neural reflectance models are capable of reproducing the spatially-varying appearance of many real-world materials at different scales.

A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

no code implementations17 Jul 2023 Yan-Jie Zhou, Wei Liu, Yuan Gao, Jing Xu, Le Lu, Yuping Duan, Hao Cheng, Na Jin, Xiaoyong Man, Shuang Zhao, Yu Wang

Skin diseases are among the most prevalent health issues, and accurate computer-aided diagnosis methods are of importance for both dermatologists and patients.

Multi-Task Learning

Efficient Prediction of Peptide Self-assembly through Sequential and Graphical Encoding

1 code implementation17 Jul 2023 Zihan Liu, Jiaqi Wang, Yun Luo, Shuang Zhao, Wenbin Li, Stan Z. Li

In recent years, there has been an explosion of research on the application of deep learning to the prediction of various peptide properties, due to the significant development and market potential of peptides.


PSDR-Room: Single Photo to Scene using Differentiable Rendering

no code implementations6 Jul 2023 Kai Yan, Fujun Luan, Miloš Hašan, Thibault Groueix, Valentin Deschaintre, Shuang Zhao

A 3D digital scene contains many components: lights, materials and geometries, interacting to reach the desired appearance.

Scene Understanding

DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction

no code implementations3 May 2023 Chen Zhu, Liang Du, Hong Chen, Shuang Zhao, Zixun Sun, Xin Wang, Wenwu Zhu

To tackle this problem, inspired by the Global Workspace Theory in conscious processing, which posits that only a specific subset of the product features are pertinent while the rest can be noisy and even detrimental to human-click behaviors, we propose a CTR model that enables Dynamic Embedding Learning with Truncated Conscious Attention for CTR prediction, termed DELTA.

Click-Through Rate Prediction

Neural-PBIR Reconstruction of Shape, Material, and Illumination

no code implementations ICCV 2023 Cheng Sun, Guangyan Cai, Zhengqin Li, Kai Yan, Cheng Zhang, Carl Marshall, Jia-Bin Huang, Shuang Zhao, Zhao Dong

In the last stage, initialized by the neural predictions, we perform PBIR to refine the initial results and obtain the final high-quality reconstruction of object shape, material, and illumination.

Depth Prediction Image Relighting +5

Statistical Feature-based Personal Information Detection in Mobile Network Traffic

no code implementations23 Dec 2021 Shuang Zhao, Shuhui Chen, Ziling Wei

Since the statistical features are independent of the value and type of personal information, the trained detector is capable of identifying various types of privacy leaks and obfuscated privacy leaks.

Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes

1 code implementation CVPR 2021 Huiting Yang, Liangyu Chai, Qiang Wen, Shuang Zhao, Zixun Sun, Shengfeng He

In this way, arbitrary attributes can be edited by collecting positive data only, and the proposed method learns a controllable representation enabling manipulation of non-binary attributes like anime styles and facial characteristics.


Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering

no code implementations28 Mar 2021 Fujun Luan, Shuang Zhao, Kavita Bala, Zhao Dong

Reconstructing the shape and appearance of real-world objects using measured 2D images has been a long-standing problem in computer vision.

MaterialGAN: Reflectance Capture using a Generative SVBRDF Model

no code implementations30 Sep 2020 Yu Guo, Cameron Smith, Miloš Hašan, Kalyan Sunkavalli, Shuang Zhao

We address the problem of reconstructing spatially-varying BRDFs from a small set of image measurements.

Inverse Rendering

A Bayesian Inference Framework for Procedural Material Parameter Estimation

no code implementations2 Dec 2019 Yu Guo, Milos Hasan, Lingqi Yan, Shuang Zhao

Procedural material models have been gaining traction in many applications thanks to their flexibility, compactness, and easy editability.

Bayesian Inference Inverse Rendering

News Cover Assessment via Multi-task Learning

no code implementations17 Jul 2019 Zixun Sun, Shuang Zhao, Chengwei Zhu, Xiao Chen

We propose an end-to-end multi-task learning network for image clarity assessment and semantic segmentation simultaneously, the results of which can be guided for news cover assessment.

Multi-Task Learning Segmentation +1

Inverse Transport Networks

no code implementations28 Sep 2018 Chengqian Che, Fujun Luan, Shuang Zhao, Kavita Bala, Ioannis Gkioulekas

We introduce inverse transport networks as a learning architecture for inverse rendering problems where, given input image measurements, we seek to infer physical scene parameters such as shape, material, and illumination.

Inverse Rendering

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