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An overview of diffusion models: Applications, guided generation, statistical rates and optimization
Diffusion models, a powerful and universal generative AI technology, have achieved
tremendous success in computer vision, audio, reinforcement learning, and computational …
tremendous success in computer vision, audio, reinforcement learning, and computational …
The llama 3 herd of models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …
presents a new set of foundation models, called Llama 3. It is a herd of language models …
Lavie: High-quality video generation with cascaded latent diffusion models
This work aims to learn a high-quality text-to-video (T2V) generative model by leveraging a
pre-trained text-to-image (T2I) model as a basis. It is a highly desirable yet challenging task …
pre-trained text-to-image (T2I) model as a basis. It is a highly desirable yet challenging task …
Opportunities and challenges of diffusion models for generative AI
Diffusion models, a powerful and universal generative artificial intelligence technology, have
achieved tremendous success and opened up new possibilities in diverse applications. In …
achieved tremendous success and opened up new possibilities in diverse applications. In …
Fast high-resolution image synthesis with latent adversarial diffusion distillation
Diffusion models are the main driver of progress in image and video synthesis, but suffer
from slow inference speed. Distillation methods, like the recently introduced adversarial …
from slow inference speed. Distillation methods, like the recently introduced adversarial …
Miradata: A large-scale video dataset with long durations and structured captions
Sora's high-motion intensity and long consistent videos have significantly impacted the field
of video generation, attracting unprecedented attention. However, existing publicly available …
of video generation, attracting unprecedented attention. However, existing publicly available …
Show-o: One single transformer to unify multimodal understanding and generation
We present a unified transformer, ie, Show-o, that unifies multimodal understanding and
generation. Unlike fully autoregressive models, Show-o unifies autoregressive and …
generation. Unlike fully autoregressive models, Show-o unifies autoregressive and …
Discrete flow matching
Abstract Despite Flow Matching and diffusion models having emerged as powerful
generative paradigms for continuous variables such as images and videos, their application …
generative paradigms for continuous variables such as images and videos, their application …
Emu3: Next-token prediction is all you need
While next-token prediction is considered a promising path towards artificial general
intelligence, it has struggled to excel in multimodal tasks, which are still dominated by …
intelligence, it has struggled to excel in multimodal tasks, which are still dominated by …
On statistical rates and provably efficient criteria of latent diffusion transformers (dits)
We investigate the statistical and computational limits of latent Diffusion Transformers (DiTs)
under the low-dimensional linear latent space assumption. Statistically, we study the …
under the low-dimensional linear latent space assumption. Statistically, we study the …