Knowing the Past to Predict the Future: Reinforcement Virtual Learning

no code implementations • 2 Nov 2022 • Peng Zhang, Yawen Huang, Bingzhang Hu, Shizheng Wang, Haoran Duan, Noura Al Moubayed, Yefeng Zheng, Yang Long

Reinforcement Learning (RL)-based control system has received considerable attention in recent decades.

Reinforcement Learning (RL)

PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling

no code implementations • 22 Apr 2022 • Luqing Luo, Lulu Tang, Wanyi Zhou, Shizheng Wang, Zhi-Xin Yang

In this work, the flexible upsampling rates are achieved via edge vector based affine combinations, and a novel design of Edge Vector based Approximation for Flexible-scale Point clouds Upsampling (PU-EVA) is proposed.

point cloud upsampling Surface Reconstruction

PU-EVA: An Edge-Vector Based Approximation Solution for Flexible-Scale Point Cloud Upsampling

1 code implementation • ICCV 2021 • Luqing Luo, Lulu Tang, Wanyi Zhou, Shizheng Wang, Zhi-Xin Yang

In this work, the arbitrary point clouds upsampling rates are achieved via edge-vector based affine combinations, and a novel design of Edge-Vector based Approximation for Flexible-scale Point clouds Upsampling (PU-EVA) is proposed.

point cloud upsampling Surface Reconstruction

Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display

no code implementations • CVPR 2018 • Shizheng Wang, Wenjuan Liao, Phil Surman, Zhigang Tu, Yuanjin Zheng, Junsong Yuan

Multi-layer light field displays are a type of computational three-dimensional (3D) display which has recently gained increasing interest for its holographic-like effect and natural compatibility with 2D displays.