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Conditional Text-to-Image Synthesis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Introducing extra conditions based on the text-to-image generation process, similar to the paradigm of ControlNet.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Test-time Conditional Text-to-Image Synthesis Using Diffusion Models
Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis
MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis
InstanceDiffusion: Instance-level Control for Image Generation
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
LaCon: Late-Constraint Diffusion for Steerable Guided Image Synthesis
GLIGEN: Open-Set Grounded Text-to-Image Generation
ReCo: Region-Controlled Text-to-Image Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.