| Full text | |
| Author(s): |
Ferraz Ribeiro, Leo Sampaio
;
Bui, Tu
;
Collomosse, John
;
Ponti, Moacir
;
IEEE Comp Soc
Total Authors: 5
|
| Document type: | Journal article |
| Source: | 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021); v. N/A, p. 10-pg., 2021-01-01. |
| Abstract | |
Scene Designer is a novel method for searching and generating images using free-hand sketches of scene compositions; i.e. drawings that describe both the appearance and relative positions of objects. Our core contribution is a single unified model to learn both a cross-modal search embedding for matching sketched compositions to images, and an object embedding for layout synthesis. We show that a graph neural network (GNN) followed by Transformer under our novel contrastive learning setting is required to allow learning correlations between object type, appearance and arrangement, driving a mask generation module that synthesizes coherent scene layouts, whilst also delivering state of the art sketch based visual search of scenes. (AU) | |
| FAPESP's process: | 19/02808-1 - Finding correspondences between cross-domain representations using unsupervised feature matching |
| Grantee: | Leo Sampaio Ferraz Ribeiro |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate (Direct) |
| FAPESP's process: | 17/22366-8 - Generative networks and feature learning for cross domain visual search |
| Grantee: | Leo Sampaio Ferraz Ribeiro |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |
| FAPESP's process: | 19/07316-0 - Singularity theory and its applications to differential geometry, differential equations and computer vision |
| Grantee: | Farid Tari |
| Support Opportunities: | Research Projects - Thematic Grants |