Deep compression autoencoder for efficient high-resolution diffusion models
We present Deep Compression Autoencoder (DC-AE), a new family of autoencoder models
for accelerating high-resolution diffusion models. Existing autoencoder models have …
for accelerating high-resolution diffusion models. Existing autoencoder models have …
Real-time video generation with pyramid attention broadcast
We present Pyramid Attention Broadcast (PAB), a real-time, high quality and training-free
approach for DiT-based video generation. Our method is founded on the observation that …
approach for DiT-based video generation. Our method is founded on the observation that …
Efficient diffusion models: A comprehensive survey from principles to practices
Z Ma, Y Zhang, G Jia, L Zhao, Y Ma, M Ma… - arxiv preprint arxiv …, 2024 - arxiv.org
As one of the most popular and sought-after generative models in the recent years, diffusion
models have sparked the interests of many researchers and steadily shown excellent …
models have sparked the interests of many researchers and steadily shown excellent …
Svdqunat: Absorbing outliers by low-rank components for 4-bit diffusion models
Diffusion models have been proven highly effective at generating high-quality images.
However, as these models grow larger, they require significantly more memory and suffer …
However, as these models grow larger, they require significantly more memory and suffer …
Linfusion: 1 gpu, 1 minute, 16k image
Modern diffusion models, particularly those utilizing a Transformer-based UNet for
denoising, rely heavily on self-attention operations to manage complex spatial relationships …
denoising, rely heavily on self-attention operations to manage complex spatial relationships …
Diffusion models meet remote sensing: Principles, methods, and perspectives
As a newly emerging advance in deep generative models, diffusion models have achieved
state-of-the-art results in many fields, including computer vision, natural language …
state-of-the-art results in many fields, including computer vision, natural language …
Video-infinity: Distributed long video generation
Diffusion models have recently achieved remarkable results for video generation. Despite
the encouraging performances, the generated videos are typically constrained to a small …
the encouraging performances, the generated videos are typically constrained to a small …
Artificial intelligence for biomedical video generation
As a prominent subfield of Artificial Intelligence Generated Content (AIGC), video generation
has achieved notable advancements in recent years. The introduction of Sora-alike models …
has achieved notable advancements in recent years. The introduction of Sora-alike models …
How Far Are We From AGI
The evolution of artificial intelligence (AI) has profoundly impacted human society, driving
significant advancements in multiple sectors. Yet, the escalating demands on AI have …
significant advancements in multiple sectors. Yet, the escalating demands on AI have …
Ascan: Asymmetric convolution-attention networks for efficient recognition and generation
Neural network architecture design requires making many crucial decisions. The common
desiderata is that similar decisions, with little modifications, can be reused in a variety of …
desiderata is that similar decisions, with little modifications, can be reused in a variety of …