1 code implementation • 28 Jul 2023 • Cheng Wen, Xianghui Sun, Shuaijiang Zhao, Xiaoquan Fang, Liangyu Chen, Wei Zou
This paper presents the development and evaluation of ChatHome, a domain-specific language model (DSLM) designed for the intricate field of home renovation.
1 code implementation • 22 Jul 2023 • Cheng Wen, Baosheng Yu, Rao Fu, DaCheng Tao
A generative model for high-fidelity point clouds is of great importance in synthesizing 3d environments for applications such as autonomous driving and robotics.
1 code implementation • 8 Jul 2023 • Rao Fu, Cheng Wen, Qian Li, Xiao Xiao, Pierre Alliez
This paper proposes BPNet, a novel end-to-end deep learning framework to learn B\'ezier primitive segmentation on 3D point clouds.
no code implementations • 10 Feb 2023 • Cheng Wen, Jianzhi Long, Baosheng Yu, DaCheng Tao
In this paper, we introduce a new method, PointWavelet, to explore local graphs in the spectral domain via a learnable graph wavelet transform.
no code implementations • CVPR 2023 • Cheng Wen, Baosheng Yu, DaCheng Tao
In this paper, we introduce a new skeleton-aware learning-to-sample method by learning object skeletons as the prior knowledge to preserve the object geometry and topology information during sampling.
no code implementations • 25 Apr 2022 • Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao
The tangent transfer creates initial augmented samples for improving corruption robustness.
no code implementations • 19 Apr 2022 • Rui Yan, Cheng Wen, Shuran Zhou, Tingwei Guo, Wei Zou, Xiangang Li
This paper describes our best system and methodology for ADD 2022: The First Audio Deep Synthesis Detection Challenge\cite{Yi2022ADD}.
no code implementations • 19 Apr 2022 • Cheng Wen, Tingwei Guo, Xingjun Tan, Rui Yan, Shuran Zhou, Chuandong Xie, Wei Zou, Xiangang Li
In this paper, we describe our speech generation system for the first Audio Deep Synthesis Detection Challenge (ADD 2022).
no code implementations • CVPR 2021 • Cheng Wen, Baosheng Yu, DaCheng Tao
The proposed dual-generators framework thus is able to progressively learn effective point embeddings for accurate point cloud generation.
1 code implementation • 19 Oct 2020 • Tingwei Guo, Cheng Wen, Dongwei Jiang, Ne Luo, Ruixiong Zhang, Shuaijiang Zhao, Wubo Li, Cheng Gong, Wei Zou, Kun Han, Xiangang Li
This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech.
Audio and Speech Processing