1 citations · 5 across the 13 of their papers we have counts for
5 papers · 1 filter
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
Lu Ling, Yichen Sheng, Zhi Tu +17
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 sy…
Dr.Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering
Yichen Sheng, Zixun Yu, Lu Ling +6
Bokeh is widely used in photography to draw attention to the subject while effectively isolating distractions in the background. Computational methods simulate bokeh effects withou…
DeepTree: Modeling Trees with Situated Latents
Xiaochen Zhou, Bosheng Li, Bedrich Benes +2
In this paper, we propose DeepTree, a novel method for modeling trees based on learning developmental rules for branching structures instead of manually defining them. We call our…
SnakeVoxFormer: Transformer-based Single Image\\Voxel Reconstruction with Run Length Encoding
Jae Joong Lee, Bedrich Benes
Deep learning-based 3D object reconstruction has achieved unprecedented results. Among those, the transformer deep neural model showed outstanding performance in many applications…
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing
Yichen Sheng, Jianming Zhang, Julien Philip +5
Lighting effects such as shadows or reflections are key in making synthetic images realistic and visually appealing. To generate such effects, traditional computer graphics uses a…