Freestyle layout-to-image synthesis
Typical layout-to-image synthesis (LIS) models generate images for a close set of semantic classes, e.g., 182 common objects in COCO-Stuff. In this work, we explore the freestyle capability of the model, i.e., how far can it generate unseen semantics (e.g., classes, attributes, and styles) onto a gi...
Saved in:
Main Authors: | XUE, Han, HUANG, Zhiwu, SUN, Qianru, SONG, Li, ZHANG, Wenjun |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8057 https://ink.library.smu.edu.sg/context/sis_research/article/9060/viewcontent/Xue_Freestyle_Layout_to_Image_Synthesis_CVPR_2023_paper.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Face video retrieval with image query via hashing across Euclidean space and Riemannian manifold
by: LI, Y., et al.
Published: (2015) -
Log-euclidean metric learning on symmetric positive definite manifold with application to image set classification
by: HUANG, Zhiwu, et al.
Published: (2015) -
Weakly paired multi-domain image translation
by: ZHANG, M.Y., et al.
Published: (2020) -
Visual commonsense representation learning via causal inference
by: WANG, Tan, et al.
Published: (2020) -
Self-supervised learning disentangled group representation as feature
by: WANG, Tan, et al.
Published: (2021)