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What and Where: A Context-based Recommendation System for Object
  Insertion

What and Where: A Context-based Recommendation System for Object Insertion

24 November 2018
Song-Hai Zhang
Zhengping Zhou
Bin Liu
Xin Dong
Dun Liang
P. Hall
Shimin Hu
    VLM
ArXiv (abs)PDFHTML

Papers citing "What and Where: A Context-based Recommendation System for Object Insertion"

6 / 6 papers shown
Title
Spatial Transformation for Image Composition via Correspondence Learning
Spatial Transformation for Image Composition via Correspondence Learning
Bo Zhang
Yue Liu
K. Lu
Li Niu
Liqing Zhang
66
3
0
06 Jul 2022
Fast Object Placement Assessment
Fast Object Placement Assessment
Li Niu
Qingyang Liu
Zhenchen Liu
Jiangtong Li
79
14
0
28 May 2022
OPA: Object Placement Assessment Dataset
OPA: Object Placement Assessment Dataset
Liu Liu
Zhenchen Liu
Bo Zhang
Jiangtong Li
Li Niu
Qingyang Liu
Liqing Zhang
81
29
0
05 Jul 2021
Making Images Real Again: A Comprehensive Survey on Deep Image
  Composition
Making Images Real Again: A Comprehensive Survey on Deep Image Composition
Li Niu
Wenyan Cong
Liu Liu
Yan Hong
Bo Zhang
Jing Liang
Liqing Zhang
VLMDiffMCoGe
128
77
0
28 Jun 2021
Scale-aware Insertion of Virtual Objects in Monocular Videos
Scale-aware Insertion of Virtual Objects in Monocular Videos
Songhai Zhang
Xiangli Li
Yingtian Liu
Hongbo Fu
50
5
0
04 Dec 2020
Deep Hough Transform for Semantic Line Detection
Deep Hough Transform for Semantic Line Detection
Kai Zhao
Qi Han
Chang-Bin Zhang
Jun Xu
Mingg-Ming Cheng
77
181
0
10 Mar 2020
1