PeP: a Point enhanced Painting method for unified point cloud tasks

PeP: a Point enhanced Painting method for unified point cloud tasks

11 October 2023

Xin Zhan

Papers citing "PeP: a Point enhanced Painting method for unified point cloud tasks"

6 / 6 papers shown

Title
MonoDETRNext: Next-generation Accurate and Efficient Monocular 3D Object Detection Method Pan Liao Feng Yang Di Wu Liu Bo 32 1 0 24 May 2024
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue Zichao Dong Bowen Pang Xufeng Huang Hang Ji Xin Zhan Junbo Chen 3DPC 35 0 0 08 Mar 2024
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models Jiarui Xu Sifei Liu Arash Vahdat Wonmin Byeon Xiaolong Wang Shalini De Mello VLM 223 319 0 08 Mar 2023
Multimodal Virtual Point 3D Detection Tianwei Yin Xingyi Zhou Philipp Krahenbuhl 3DPC 160 245 0 12 Nov 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 192 521 0 21 Sep 2016