Search Results for author: Zhi Tu

Found 5 papers, 3 papers with code

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision

no code implementations26 Dec 2023 Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera

We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view synthesis (NVS).

Novel View Synthesis Representation Learning

Rapid Image Labeling via Neuro-Symbolic Learning

1 code implementation18 Jun 2023 Yifeng Wang, Zhi Tu, Yiwen Xiang, Shiyuan Zhou, Xiyuan Chen, Bingxuan Li, Tianyi Zhang

To address this challenge, we propose a neuro-symbolic approach called Rapid, which infers image labeling rules from a small amount of labeled data provided by domain experts and automatically labels unannotated data using the rules.

Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates

1 code implementation ICCV 2021 Shenhan Qian, Zhi Tu, YiHao Zhi, Wen Liu, Shenghua Gao

Co-speech gesture generation is to synthesize a gesture sequence that not only looks real but also matches with the input speech audio.

Gesture Generation

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

2 code implementations18 Nov 2020 Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao

Also, we build a new dataset, namely iPER dataset, for the evaluation of human motion imitation, appearance transfer, and novel view synthesis.

Denoising Image Generation +1

Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image

no code implementations28 Nov 2019 Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu

With the development of convolutional neural network, deep learning has shown its success for retinal disease detection from optical coherence tomography (OCT) images.

Anomaly Detection Generative Adversarial Network

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