Vision + Language Applications: A Survey
원문 초록
Text-to-image generation has attracted significant interest from researchers and practitioners in recent years due to its widespread and diverse applications across various industries. Despite the progress made in the domain of vision and language research, the existing literature remains relatively limited, particularly with regard to advancements and applications in this field. This paper explores a relevant research track within multimodal applications, including text, vision, audio, and others. In addition to the studies discussed in this paper, we are also committed to continually updating the latest relevant papers, datasets, application projects and corresponding information at https://github.com/Yutong-Zhou-cv/Awesome-Text-to-Image
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
CharaConsist: Fine-Grained Consistent Character Generation
NeoBabel: A Multilingual Open Tower for Visual Generation
Ovis-U1 Technical Report
Rethink Sparse Signals for Pose-guided Text-to-image Generation
XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
토론
이 논문과 연결된 포럼 글이 아직 없습니다.