Search Results for author: Xiaoshuai Zhang

Found 14 papers, 4 papers with code

MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field

no code implementations10 Mar 2023 Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su

Under the Lagrangian view, we parameterize the scene motion by tracking the trajectory of particles on objects.

3D scene Editing

NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction

1 code implementation CVPR 2022 Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu

We demonstrate that NeRFusion achieves state-of-the-art quality on both large-scale indoor and small-scale object scenes, with substantially faster reconstruction than NeRF and other recent methods.

3D Reconstruction

ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation

no code implementations CVPR 2022 Isabella Liu, Edward Yang, Jianyu Tao, Rui Chen, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Hao Su

First, we demonstrate the transferability of our method to out-of-distribution real data by using a mixed domain learning strategy.

Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models

no code implementations6 Oct 2021 Jen-Hao Rick Chang, Ashish Shrivastava, Hema Swetha Koppula, Xiaoshuai Zhang, Oncel Tuzel

However, under an unsupervised-style setting, typical training algorithms for controllable sequence generative models suffer from the training-inference mismatch, where the same sample is used as content and style input during training but unpaired samples are given during inference.

MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo

2 code implementations ICCV 2021 Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, Hao Su

We present MVSNeRF, a novel neural rendering approach that can efficiently reconstruct neural radiance fields for view synthesis.

Neural Rendering

Disentangled Image Matting

no code implementations ICCV 2019 Shaofan Cai, Xiaoshuai Zhang, Haoqiang Fan, Haibin Huang, Jiangyu Liu, Jiaming Liu, Jiaying Liu, Jue Wang, Jian Sun

Most previous image matting methods require a roughly-specificed trimap as input, and estimate fractional alpha values for all pixels that are in the unknown region of the trimap.

Image Matting

A Comprehensive Benchmark for Single Image Compression Artifacts Reduction

no code implementations9 Sep 2019 Jiaying Liu, Dong Liu, Wenhan Yang, Sifeng Xia, Xiaoshuai Zhang, Yuanying Dai

We present a comprehensive study and evaluation of existing single image compression artifacts removal algorithms, using a new 4K resolution benchmark including diversified foreground objects and background scenes with rich structures, called Large-scale Ideal Ultra high definition 4K (LIU4K) benchmark.

Image Compression Quantization

How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning

no code implementations24 Apr 2019 Xinlei Pan, Wei-Yao Wang, Xiaoshuai Zhang, Bo Li, Jin-Feng Yi, Dawn Song

To the best of our knowledge, this is the first work to investigate privacy leakage in DRL settings and we show that DRL-based agents do potentially leak privacy-sensitive information from the trained policies.

Autonomous Driving Continuous Control +3

Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration

no code implementations ICLR 2019 Xiaoshuai Zhang, Yiping Lu, Jiaying Liu, Bin Dong

In this paper, we propose a new control framework called the moving endpoint control to restore images corrupted by different degradation levels in one model.

Image Deblocking Image Denoising +1

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