Dr. Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering

no code implementations • CVPR 2024 • Yichen Sheng, Zixun Yu, Lu Ling, Zhiwen Cao, Xuaner Zhang, Xin Lu, Ke Xian, Haiting Lin, Bedrich Benes

Dr. Bokeh then takes the layered representation and user-defined lens parameters to render photo-realistic lens blur based on the novel occlusion-aware bokeh rendering method.

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

1 code implementation • CVPR 2024 • 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).

Deep Learning NeRF +2

Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization

no code implementations • 9 May 2023 • Lu Ling, Washim Uddin Mondal, Satish V, Ukkusuri

Then we develop a novel deep reinforcement learning to seek the optimal vaccine allocation strategy for the high-degree spatial-temporal disease evolution system.

Deep Reinforcement Learning Graph Neural Network +1

PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing

no code implementations • CVPR 2023 • Yichen Sheng, Jianming Zhang, Julien Philip, Yannick Hold-Geoffroy, Xin Sun, He Zhang, Lu Ling, Bedrich Benes

To compensate for the lack of geometry in 2D Image compositing, recent deep learning-based approaches introduced a pixel height representation to generate soft shadows and reflections.

3D geometry