Masterweaver: Taming editability and face identity for personalized text-to-image generation
Abstract Text-to-image (T2I) diffusion models have shown significant success in
personalized text-to-image generation, which aims to generate novel images with human …
personalized text-to-image generation, which aims to generate novel images with human …
UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics
We introduce UniReal, a unified framework designed to address various image generation
and editing tasks. Existing solutions often vary by tasks, yet share fundamental principles …
and editing tasks. Existing solutions often vary by tasks, yet share fundamental principles …
MagicFace: Training-free Universal-Style Human Image Customized Synthesis
Current human image customization methods leverage Stable Diffusion (SD) for its rich
semantic prior. However, since SD is not specifically designed for human-oriented …
semantic prior. However, since SD is not specifically designed for human-oriented …
A Survey on Personalized Content Synthesis with Diffusion Models
Recent advancements in generative models have significantly impacted content creation,
leading to the emergence of Personalized Content Synthesis (PCS). With a small set of user …
leading to the emergence of Personalized Content Synthesis (PCS). With a small set of user …
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts
Y Han, R Wang, C Zhang, J Hu, P Cheng, B Fu… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in image generation have enabled the creation of high-quality
images from text conditions. However, when facing multi-modal conditions, such as text …
images from text conditions. However, when facing multi-modal conditions, such as text …
LoRA. rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
Recent advancements in image generation models have enabled personalized image
creation with both user-defined subjects (content) and styles. Prior works achieved …
creation with both user-defined subjects (content) and styles. Prior works achieved …
EZIGen: Enhancing zero-shot subject-driven image generation with precise subject encoding and decoupled guidance
Zero-shot subject-driven image generation aims to produce images that incorporate a
subject from a given example image. The challenge lies in preserving the subject's identity …
subject from a given example image. The challenge lies in preserving the subject's identity …
AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status
Diffusion models have made compelling progress on facilitating high-throughput daily
production. Nevertheless, the appealing customized requirements are remain suffered from …
production. Nevertheless, the appealing customized requirements are remain suffered from …