Preserve your own correlation: A noise prior for video diffusion models
Despite tremendous progress in generating high-quality images using diffusion models,
synthesizing a sequence of animated frames that are both photorealistic and temporally …
synthesizing a sequence of animated frames that are both photorealistic and temporally …
Grounded text-to-image synthesis with attention refocusing
Driven by the scalable diffusion models trained on large-scale datasets text-to-image
synthesis methods have shown compelling results. However these models still fail to …
synthesis methods have shown compelling results. However these models still fail to …
Diffusion model-based image editing: A survey
Denoising diffusion models have emerged as a powerful tool for various image generation
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …
Renoise: Real image inversion through iterative noising
Recent advancements in text-guided diffusion models have unlocked powerful image
manipulation capabilities. However, applying these methods to real images necessitates the …
manipulation capabilities. However, applying these methods to real images necessitates the …
Cross-image attention for zero-shot appearance transfer
Recent advancements in text-to-image generative models have demonstrated a remarkable
ability to capture a deep semantic understanding of images. In this work, we leverage this …
ability to capture a deep semantic understanding of images. In this work, we leverage this …
Freecontrol: Training-free spatial control of any text-to-image diffusion model with any condition
Recent approaches such as ControlNet offer users fine-grained spatial control over text-to-
image (T2I) diffusion models. However auxiliary modules have to be trained for each spatial …
image (T2I) diffusion models. However auxiliary modules have to be trained for each spatial …
Boosting consistency in story visualization with rich-contextual conditional diffusion models
Recent research showcases the considerable potential of conditional diffusion models for
generating consistent stories. However, current methods, which predominantly generate …
generating consistent stories. However, current methods, which predominantly generate …
Portraitbooth: A versatile portrait model for fast identity-preserved personalization
Recent advancements in personalized image generation using diffusion models have been
noteworthy. However existing methods suffer from inefficiencies due to the requirement for …
noteworthy. However existing methods suffer from inefficiencies due to the requirement for …
It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
This paper unravels the potential of sketches for diffusion models addressing the deceptive
promise of direct sketch control in generative AI. We importantly democratise the process …
promise of direct sketch control in generative AI. We importantly democratise the process …
Bridging different language models and generative vision models for text-to-image generation
Text-to-image generation has made significant advancements with the introduction of text-to-
image diffusion models. These models typically consist of a language model that interprets …
image diffusion models. These models typically consist of a language model that interprets …