MuPT: A Generative Symbolic Music Pretrained Transformer

no code implementations • 9 Apr 2024 • Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xinrun Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Stephen W. Huang, Wenhu Chen, Jie Fu, Ge Zhang

In this paper, we explore the application of Large Language Models (LLMs) to the pre-training of music.

Music Generation Music Modeling

FocDepthFormer: Transformer with LSTM for Depth Estimation from Focus

no code implementations • 17 Oct 2023 • Xueyang Kang, Fengze Han, Abdur Fayjie, Dong Gong

Most existing methods tackle this problem by applying convolutional neural networks (CNNs) with 2D or 3D convolutions over a set of fixed stack images to learn features across images and stacks.

Depth Estimation

TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis

no code implementations • 28 Feb 2022 • Haohao Hu, Fengze Han, Frank Bieder, Jan-Hendrik Pauls, Christoph Stiller

To calibrate the stereo camera, a photometric error function is builded and the LiDAR depth is involved to transform key points from one camera to another.

Camera Calibration Point Cloud Registration