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State of the art on diffusion models for visual computing
The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …
A survey of multimodal-guided image editing with text-to-image diffusion models
Image editing aims to edit the given synthetic or real image to meet the specific requirements
from users. It is widely studied in recent years as a promising and challenging field of …
from users. It is widely studied in recent years as a promising and challenging field of …
Sparsectrl: Adding sparse controls to text-to-video diffusion models
The development of text-to-video (T2V), ie, generating videos with a given text prompt, has
been significantly advanced in recent years. However, relying solely on text prompts often …
been significantly advanced in recent years. However, relying solely on text prompts often …
Style aligned image generation via shared attention
Abstract Large-scale Text-to-Image (T2I) models have rapidly gained prominence across
creative fields generating visually compelling outputs from textual prompts. However …
creative fields generating visually compelling outputs from textual prompts. However …
Break-a-scene: Extracting multiple concepts from a single image
Text-to-image model personalization aims to introduce a user-provided concept to the
model, allowing its synthesis in diverse contexts. However, current methods primarily focus …
model, allowing its synthesis in diverse contexts. However, current methods primarily focus …
Videobooth: Diffusion-based video generation with image prompts
Text-driven video generation witnesses rapid progress. However merely using text prompts
is not enough to depict the desired subject appearance that accurately aligns with users' …
is not enough to depict the desired subject appearance that accurately aligns with users' …
Subject-diffusion: Open domain personalized text-to-image generation without test-time fine-tuning
Recent progress in personalized image generation using diffusion models has been
significant. However, development in the area of open-domain and test-time fine-tuning-free …
significant. However, development in the area of open-domain and test-time fine-tuning-free …
A neural space-time representation for text-to-image personalization
A key aspect of text-to-image personalization methods is the manner in which the target
concept is represented within the generative process. This choice greatly affects the visual …
concept is represented within the generative process. This choice greatly affects the visual …
Fresco: Spatial-temporal correspondence for zero-shot video translation
The remarkable efficacy of text-to-image diffusion models has motivated extensive
exploration of their potential application in video domains. Zero-shot methods seek to extend …
exploration of their potential application in video domains. Zero-shot methods seek to extend …
Customizable image synthesis with multiple subjects
Synthesizing images with user-specified subjects has received growing attention due to its
practical applications. Despite the recent success in single subject customization, existing …
practical applications. Despite the recent success in single subject customization, existing …