223 citations · 385 across the 5 of their papers we have counts for
5 papers
Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach
Cheng Wen, Baosheng Yu, Rao Fu +1
A generative model for high-fidelity point clouds is of great importance in synthesizing 3d environments for applications such as autonomous driving and robotics. Despite the recen…
BPNet: Bézier Primitive Segmentation on 3D Point Clouds
Rao Fu, Cheng Wen, Qian Li +2
This paper proposes BPNet, a novel end-to-end deep learning framework to learn Bézier primitive segmentation on 3D point clouds. The existing works treat different primitive types…
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Junde Wu, Wei Ji, Yuanpei Liu +4
The Segment Anything Model (SAM) has recently gained popularity in the field of image segmentation due to its impressive capabilities in various segmentation tasks and its prompt-b…
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer
Junde Wu, Wei Ji, Huazhu Fu +3
The Diffusion Probabilistic Model (DPM) has recently gained popularity in the field of computer vision, thanks to its image generation applications, such as Imagen, Latent Diffusio…
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu, Rao Fu, Huihui Fang +5
Diffusion probabilistic model (DPM) recently becomes one of the hottest topic in computer vision. Its image generation application such as Imagen, Latent Diffusion Models and Stabl…