https://github.com/verazuo/prompt-stealing-attack
공식 코드Prompt Stealing Attacks Against Text-to-Image Generation Models
Papers with Code 아카이브
Text to Image Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 1
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/vfcosta/clip-gan-es
공식 코드Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies
https://github.com/vicgalle/stable-diffusion-aesthetic-gradients
공식 코드Personalizing Text-to-Image Generation via Aesthetic Gradients
https://github.com/videocrafter/talecrafter
공식 코드TaleCrafter: Interactive Story Visualization with Multiple Characters
https://github.com/vinairesearch/swiftbrush
공식 코드SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation
https://github.com/vinid/text-to-image-bias
공식 코드Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
https://github.com/virobo-15/mgcc
공식 코드https://github.com/visual-words/visual-words
공식 코드https://github.com/vpulab/ovam
공식 코드Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
https://github.com/vturrisi/disef
공식 코드Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
https://github.com/wakals/gascol
공식 코드Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation
https://github.com/walkermitty/emoava
공식 코드Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation Benchmark
https://github.com/wangjiarui153/aigciqa2023
공식 코드https://github.com/wangkaihong/hadm
공식 코드https://github.com/wangyuchi369/ladic
공식 코드https://github.com/wcshin-git/te-vqgan
공식 코드https://github.com/weixi-feng/layoutgpt
공식 코드LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
https://github.com/wfanyue/dpg-t2i-personalization
공식 코드Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning
https://github.com/wtliao/text2image
공식 코드https://github.com/wu-cvgl/mvcontrol
공식 코드MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation
https://github.com/wu-zongyu/posi
공식 코드Universal Prompt Optimizer for Safe Text-to-Image Generation
https://github.com/wutaiqiang/moslora
공식 코드https://github.com/wyysf-98/SweetDreamer
공식 코드SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D
https://github.com/xianfengwu01/lightgen
공식 코드https://github.com/xiexing0916/ARRA
공식 코드https://github.com/xingy038/dreamer-xl
공식 코드Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching
https://github.com/xmu-xiaoma666/X-Dreamer
공식 코드https://github.com/xuyanwu/SIDDMs-UFOGen
공식 코드UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
https://github.com/xzlcan/cusconcept
공식 코드CusConcept: Customized Visual Concept Decomposition with Diffusion Models
https://github.com/yandex-research/dvar
공식 코드Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
https://github.com/yangling0818/contextdiff
공식 코드Contextualized Diffusion Models for Text-Guided Image and Video Generation
https://github.com/yangling0818/itercomp
공식 코드https://github.com/yangling0818/realcompo
공식 코드RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
https://github.com/yangling0818/rpg-diffusionmaster
공식 코드Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
https://github.com/yangxiaofeng/rectified_flow_prior
공식 코드https://github.com/yccyenchicheng/SDFusion
공식 코드SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.