Search Results for author: Qianqian Wang

Found 13 papers, 3 papers with code

Neural Rays for Occlusion-aware Image-based Rendering

no code implementations28 Jul 2021 YuAn Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang

Experiments demonstrate that NeuRay can quickly generate high-quality novel view images of unseen scenes with little finetuning and can handle complex scenes with severe self-occlusions which previous methods struggle with.

Neural Rendering Novel View Synthesis +1

Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

no code implementations ICCV 2021 Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Xiaowei Zhou, Hujun Bao

Moreover, the learned blend weight fields can be combined with input skeletal motions to generate new deformation fields to animate the human model.

PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting

no code implementations CVPR 2021 Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely

We present PhySG, an end-to-end inverse rendering pipeline that includes a fully differentiable renderer and can reconstruct geometry, materials, and illumination from scratch from a set of RGB input images.

IBRNet: Learning Multi-View Image-Based Rendering

no code implementations CVPR 2021 Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas Funkhouser

Unlike neural scene representation work that optimizes per-scene functions for rendering, we learn a generic view interpolation function that generalizes to novel scenes.

Neural Rendering Novel View Synthesis

Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans

2 code implementations CVPR 2021 Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, Xiaowei Zhou

To this end, we propose Neural Body, a new human body representation which assumes that the learned neural representations at different frames share the same set of latent codes anchored to a deformable mesh, so that the observations across frames can be naturally integrated.

Novel View Synthesis Representation Learning

Designing Efficient Metal Contacts to Two-Dimensional Semiconductors MoSi$_2$N$_4$ and WSi$_2$N$_4$ Monolayers

no code implementations14 Dec 2020 Qianqian Wang, Liemao Cao, Shi-Jun Liang, Weikang Wu, Guangzhao Wang, Ching Hua Lee, Wee Liat Ong, Hui Ying Yang, Lay Kee Ang, Shengyuan A. Yang, Yee Sin Ang

Our findings reveal the potential of MoSi$_2$N$_4$ and WSi$_2$N$_4$ monolayers as a novel 2D material platform for designing high-performance and energy-efficient 2D nanodevices.

Mesoscale and Nanoscale Physics Materials Science Applied Physics Computational Physics

Hidden Footprints: Learning Contextual Walkability from 3D Human Trails

no code implementations ECCV 2020 Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely

Predicting where people can walk in a scene is important for many tasks, including autonomous driving systems and human behavior analysis.

Autonomous Driving

Learning Feature Descriptors using Camera Pose Supervision

1 code implementation ECCV 2020 Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely

Recent research on learned visual descriptors has shown promising improvements in correspondence estimation, a key component of many 3D vision tasks.

Generative Partial Multi-View Clustering

no code implementations29 Mar 2020 Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu

Nowadays, with the rapid development of data collection sources and feature extraction methods, multi-view data are getting easy to obtain and have received increasing research attention in recent years, among which, multi-view clustering (MVC) forms a mainstream research direction and is widely used in data analysis.

Imputation

Lifelong Spectral Clustering

no code implementations27 Nov 2019 Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu

As a new spectral clustering task arrives, L2SC firstly transfers knowledge from both basis library and feature library to obtain encoding matrix, and further redefines the library base over time to maximize performance across all the clustering tasks.

Visual Tactile Fusion Object Clustering

no code implementations21 Nov 2019 Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhenming Ding

To effectively benefit both visual and tactile modalities for object clustering, in this paper, we propose a deep Auto-Encoder-like Non-negative Matrix Factorization framework for visual-tactile fusion clustering.

Representative Task Self-selection for Flexible Clustered Lifelong Learning

no code implementations6 Mar 2019 Gan Sun, Yang Cong, Qianqian Wang, Bineng Zhong, Yun Fu

Consider the lifelong machine learning paradigm whose objective is to learn a sequence of tasks depending on previous experiences, e. g., knowledge library or deep network weights.

Multi-Task Learning

Multi-Image Semantic Matching by Mining Consistent Features

1 code implementation CVPR 2018 Qianqian Wang, Xiaowei Zhou, Kostas Daniilidis

This work proposes a multi-image matching method to estimate semantic correspondences across multiple images.

Graph Matching

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