Name
Abstract | ||
|---|---|---|
ABSTRACTFashion editing has drawn increasing research interest with its extensive application prospect. Instead of directly manipulating the real fashion item image, it is more intuitive for designers to modify it via the design draft. In this paper, we model design workflows for a novel task of unaligned fashion editing, allowing the user to edit a fashion item through manipulating its corresponding design draft. The challenge lies in the large misalignment between the real fashion item and the design draft, which could severely degrade the quality of editing results. To address this issue, we propose an Unaligned Fashion Editing Network (UFE-Net). A coarsely rendered fashion item is firstly generated from the edited design draft via a translation module. With this as guidance, we align and manipulate the original unedited fashion item via a novel alignment-driven fashion editing module, and then optimize the details and shape via a reference-guided refinement module. Furthermore, a joint training strategy is introduced to exploit the synergy between the alignment and editing tasks. Our UFE-Net enables the edited fashion item to have semantically consistent geometric shape and realistic details to the edited draft in the edited region, as well as to keep the unedited region intact. Experiments demonstrate our superiority over the competing methods on unaligned fashion editing. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3474085.3475511 | International Multimedia Conference |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiyu Dai | 1 | 0 | 0.34 |
| Shuai Yang | 2 | 18 | 8.46 |
| Wenjing Wang | 3 | 9 | 3.95 |
| Wei Xiang | 4 | 0 | 0.68 |
| Jiaying Liu | 5 | 860 | 83.96 |