"HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and ..."

Shengkai Zhang et al. (2024)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2410.22901

access: open

type: Informal or Other Publication

metadata version: 2024-11-29

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2410-22901
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2410-22901
Shengkai Zhang, Nianhong Jiao, Tian Li, Chaojie Yang, Chenhui Xue, Boya Niu, Jun Gao:
HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models. CoRR abs/2410.22901 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.