27 citations · 59 across the 6 of their papers we have counts for
18 papers · 1 filter
ObjectStitch: Generative Object Compositing
Yizhi Song, Zhifei Zhang, Zhe Lin +5
Object compositing based on 2D images is a challenging problem since it typically involves multiple processing stages such as color harmonization, geometry correction and shadow ge…
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing
Sijie Zhu, Zhe Lin, Scott Cohen +3
Compositing-aware object search aims to find the most compatible objects for compositing given a background image and a query bounding box. Previous works focus on learning compati…
Learning to Predict Visual Attributes in the Wild
Khoi Pham, Kushal Kafle, Zhe Lin +4
Visual attributes constitute a large portion of information contained in a scene. Objects can be described using a wide variety of attributes which portray their visual appearance…
PhraseCut: Language-based Image Segmentation in the Wild
Chenyun Wu, Zhe Lin, Scott Cohen +2
We consider the problem of segmenting image regions given a natural language phrase, and study it on a novel dataset of 77,262 images and 345,486 phrase-region pairs. Our dataset i…
DeepStrip: High Resolution Boundary Refinement
Peng Zhou, Brian Price, Scott Cohen +2
In this paper, we target refining the boundaries in high resolution images given low resolution masks. For memory and computation efficiency, we propose to convert the regions of i…
Getting to 99% Accuracy in Interactive Segmentation
Marco Forte, Brian Price, Scott Cohen +2
Interactive object cutout tools are the cornerstone of the image editing workflow. Recent deep-learning based interactive segmentation algorithms have made significant progress in…