Search Results for author: Yongwei Chen

Found 7 papers, 4 papers with code

TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition

1 code implementation20 Oct 2022 Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia

Creation of 3D content by stylization is a promising yet challenging problem in computer vision and graphics research.

Style Transfer

Coarse Retinal Lesion Annotations Refinement via Prototypical Learning

no code implementations30 Aug 2022 Qinji Yu, Kang Dang, Ziyu Zhou, Yongwei Chen, Xiaowei Ding

Deep-learning-based approaches for retinal lesion segmentation often require an abundant amount of precise pixel-wise annotated data.

Lesion Segmentation

Masked Surfel Prediction for Self-Supervised Point Cloud Learning

1 code implementation7 Jul 2022 Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang

In this work, we make the first attempt, to the best of our knowledge, to consider the local geometry information explicitly into the masked auto-encoding, and propose a novel Masked Surfel Prediction (MaskSurf) method.

Point cloud reconstruction Self-Supervised Learning

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap

1 code implementation8 Mar 2022 Yongwei Chen, ZiHao Wang, Longkun Zou, Ke Chen, Kui Jia

Such a challenge of Simulation-to-Reality (Sim2Real) domain gap could be mitigated via learning algorithms of domain adaptation; however, we argue that generation of synthetic point clouds via more physically realistic rendering is a powerful alternative, as systematic non-uniform noise patterns can be captured.

Benchmarking Point Cloud Classification +1

Universality of parametric Coupling Flows over parametric diffeomorphisms

no code implementations7 Feb 2022 Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Yongwei Chen

Invertible neural networks based on Coupling Flows CFlows) have various applications such as image synthesis and data compression.

Bayesian Optimization Data Compression +1

Deep Optimized Priors for 3D Shape Modeling and Reconstruction

no code implementations CVPR 2021 Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia

Many learning-based approaches have difficulty scaling to unseen data, as the generality of its learned prior is limited to the scale and variations of the training samples.

3D Shape Modeling

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