3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D
Detection

3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection

8 December 2023

Hong-Xing Yu

Jiajun Wu

Papers citing "3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection"

8 / 8 papers shown

Title
MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection Rishubh Parihar Srinjay Sarkar Sarthak Vora Jogendra Nath Kundu R. V. Babu 62 0 0 09 Apr 2025
AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring Xinyi Wang Na Zhao Zhiyuan Han D. Guo Xun Yang 41 1 0 17 Jan 2025
ZeroComp: Zero-shot Object Compositing from Image Intrinsics via Diffusion Zitian Zhang Frédéric Fortier-Chouinard Mathieu Garon Anand Bhattad Jean-François Lalonde DiffM 32 3 0 10 Oct 2024
DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation Junkai Yan Yipeng Gao Q. Yang Xihan Wei Xuansong Xie Ancong Wu Wei-Shi Zheng 30 1 0 09 Apr 2024
Unsupervised Discovery of Object-Centric Neural Fields Rundong Luo Hong-Xing Yu Jiajun Wu 3DPC OCL 90 3 0 12 Feb 2024
Categorical Depth Distribution Network for Monocular 3D Object Detection Cody Reading Ali Harakeh Julia Chae Steven L. Waslander 3DPC 213 483 0 01 Mar 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 223 962 0 13 Dec 2020
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 190 520 0 21 Sep 2016