Work

Prevention of Unexpected Object Generation in Diffusion Model-Based Inpainting

Year: 2024

Type: conference-paper

Source: International Symposium on Multimedia

DOI: 10.1109/ism63611.2024.00040

Authors: Takumi Komori, Takahiro Hayashi

Institution: Kansai University

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Japan Society for the Promotion of Science

Award: Research and development of vector image retrieval by cooperating knowledge-driven and data-driven models

OpenAlex ID: W4408897606

FWCI:

Cites: 17

Cited by:

Related to: 10