Results 11 to 20 of about 17,952,540 (402)
Detecting Individual Sites Subject to Episodic Diversifying Selection
PLoS Genetics, 2012 The imprint of natural selection on protein coding genes is often difficult to identify because selection is frequently transient or episodic, i.e. it affects only a subset of lineages.
Ben Murrell +2 more
exaly +2 more sources
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation [PDF]
Computer Vision and Pattern Recognition, 2022 Large text-to-image models achieved a remarkable leap in the evolution of AI, enabling high-quality and diverse synthesis of images from a given text prompt.
Nataniel Ruiz +5 more
semanticscholar +1 more source
Within-subject template estimation for unbiased longitudinal image analysis
NeuroImage, 2012 Martin Reuter, Bruce Fischl Or B Fischl
exaly +2 more sources
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing [PDF]
Neural Information Processing Systems, 2023 Subject-driven text-to-image generation models create novel renditions of an input subject based on text prompts. Existing models suffer from lengthy fine-tuning and difficulties preserving the subject fidelity.
Dongxu Li, Junnan Li, Steven C. H. Hoi
semanticscholar +1 more source
FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention [PDF]
International Journal of Computer Vision, 2023 Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images. However, existing methods are inefficient due to the subject-specific fine-tuning, which is computationally intensive and hampers ...
Guangxuan Xiao +4 more
semanticscholar +1 more source
Subject-driven Text-to-Image Generation via Apprenticeship Learning [PDF]
Neural Information Processing Systems, 2023 Recent text-to-image generation models like DreamBooth have made remarkable progress in generating highly customized images of a target subject, by fine-tuning an ``expert model'' for a given subject from a few examples.
Wenhu Chen +6 more
semanticscholar +1 more source
Dream Video: Composing Your Dream Videos with Customized Subject and Motion [PDF]
Computer Vision and Pattern Recognition, 2023 Customized generation using diffusion models has made impressive progress in image generation, but remains unsatisfactory in the challenging video generation task, as it requires the controllability of both subjects and motions.
Yujie Wei +8 more
semanticscholar +1 more source