Copertina

Editable Image Elements for Controllable Synthesis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mu, Jiteng, Gharbi, Michaël, Zhang, Richard, Shechtman, Eli, Vasconcelos, Nuno, Wang, Xiaolong, Park, Taesung
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Improved Distribution Matching Distillation for Fast Image Synthesis
di: Yin, Tianwei, et al.
Pubblicazione: (2024)

EditAR: Unified Conditional Generation with Autoregressive Models
di: Mu, Jiteng, et al.
Pubblicazione: (2025)

Image Neural Field Diffusion Models
di: Chen, Yinbo, et al.
Pubblicazione: (2024)

Lazy Diffusion Transformer for Interactive Image Editing
di: Nitzan, Yotam, et al.
Pubblicazione: (2024)

One-step Diffusion with Distribution Matching Distillation
di: Yin, Tianwei, et al.
Pubblicazione: (2023)

Customizing Text-to-Image Diffusion with Object Viewpoint Control
di: Kumari, Nupur, et al.
Pubblicazione: (2024)

Jump Cut Smoothing for Talking Heads
di: Wang, Xiaojuan, et al.
Pubblicazione: (2024)

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features
di: Kumar, Anand, et al.
Pubblicazione: (2024)

PromptRL: Prompt Matters in RL for Flow-Based Image Generation
di: Wang, Fu-Yun, et al.
Pubblicazione: (2026)

Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos
di: Alzayer, Hadi, et al.
Pubblicazione: (2024)

VideoGigaGAN: Towards Detail-rich Video Super-Resolution
di: Xu, Yiran, et al.
Pubblicazione: (2024)

Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis
di: Sridhar, Deepak, et al.
Pubblicazione: (2024)

Distilling Diffusion Models into Conditional GANs
di: Kang, Minguk, et al.
Pubblicazione: (2024)

Fine-grained Defocus Blur Control for Generative Image Models
di: Shrivastava, Ayush, et al.
Pubblicazione: (2025)

Identifying Prompted Artist Names from Generated Images
di: Su, Grace, et al.
Pubblicazione: (2025)

MotionStream: Real-Time Video Generation with Interactive Motion Controls
di: Shin, Joonghyuk, et al.
Pubblicazione: (2025)

Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models
di: Sridhar, Deepak, et al.
Pubblicazione: (2024)

NewMove: Customizing text-to-video models with novel motions
di: Materzynska, Joanna, et al.
Pubblicazione: (2023)

Removing Distributional Discrepancies in Captions Improves Image-Text Alignment
di: Li, Yuheng, et al.
Pubblicazione: (2024)

TurboEdit: Instant text-based image editing
di: Wu, Zongze, et al.
Pubblicazione: (2024)

From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
di: Yin, Tianwei, et al.
Pubblicazione: (2024)

Improving Editability in Image Generation with Layer-wise Memory
di: Kim, Daneul, et al.
Pubblicazione: (2025)

OmniSplat: Taming Feed-Forward 3D Gaussian Splatting for Omnidirectional Images with Editable Capabilities
di: Lee, Suyoung, et al.
Pubblicazione: (2024)

DeferredGS: Decoupled and Editable Gaussian Splatting with Deferred Shading
di: Wu, Tong, et al.
Pubblicazione: (2024)

Zero4D: Training-Free 4D Video Generation From Single Video Using Off-the-Shelf Video Diffusion
di: Park, Jangho, et al.
Pubblicazione: (2025)

Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models
di: Li, Ruibin, et al.
Pubblicazione: (2024)

Long-Context State-Space Video World Models
di: Po, Ryan, et al.
Pubblicazione: (2025)

Improving image synthesis with diffusion-negative sampling
di: Desai, Alakh, et al.
Pubblicazione: (2024)

Diffusion Models with Adaptive Negative Sampling Without External Resources
di: Desai, Alakh, et al.
Pubblicazione: (2025)

MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation
di: Wei, Yuxiang, et al.
Pubblicazione: (2024)

Are Watermarked Images Editable? SafeMark for Watermark-Preserving Text-Guided Image Editing
di: Wu, Xiaodong, et al.
Pubblicazione: (2026)

CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers
di: Chen, Weidong, et al.
Pubblicazione: (2026)

CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation
di: Zhang, Zhao, et al.
Pubblicazione: (2025)

Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample Collaboration
di: Mo, Sicheng, et al.
Pubblicazione: (2025)

Qwen-Image-Layered: Towards Inherent Editability via Layer Decomposition
di: Yin, Shengming, et al.
Pubblicazione: (2025)

One-Step Image Translation with Text-to-Image Models
di: Parmar, Gaurav, et al.
Pubblicazione: (2024)

SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
di: Gandikota, Rohit, et al.
Pubblicazione: (2025)

DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image Inpainting
di: Yang, Yicheng, et al.
Pubblicazione: (2024)

Learning an Image Editing Model without Image Editing Pairs
di: Kumari, Nupur, et al.
Pubblicazione: (2025)

MoGAN: Improving Motion Quality in Video Diffusion via Few-Step Motion Adversarial Post-Training
di: Xue, Haotian, et al.
Pubblicazione: (2025)