A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?
As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …
everywhere because of its ability to analyze and create text, images, and beyond. With such …
Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …
On distillation of guided diffusion models
Classifier-free guided diffusion models have recently been shown to be highly effective at
high-resolution image generation, and they have been widely used in large-scale diffusion …
high-resolution image generation, and they have been widely used in large-scale diffusion …
Lion: Latent point diffusion models for 3d shape generation
Denoising diffusion models (DDMs) have shown promising results in 3D point cloud
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …
Diffusion-lm improves controllable text generation
Controlling the behavior of language models (LMs) without re-training is a major open
problem in natural language generation. While recent works have demonstrated successes …
problem in natural language generation. While recent works have demonstrated successes …
Flow straight and fast: Learning to generate and transfer data with rectified flow
We present rectified flow, a surprisingly simple approach to learning (neural) ordinary
differential equation (ODE) models to transport between two empirically observed …
differential equation (ODE) models to transport between two empirically observed …
High-resolution image synthesis with latent diffusion models
By decomposing the image formation process into a sequential application of denoising
autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image …
autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image …
Flexible diffusion modeling of long videos
We present a framework for video modeling based on denoising diffusion probabilistic
models that produces long-duration video completions in a variety of realistic environments …
models that produces long-duration video completions in a variety of realistic environments …
Structured denoising diffusion models in discrete state-spaces
Denoising diffusion probabilistic models (DDPMs)[Ho et al. 2021] have shown impressive
results on image and waveform generation in continuous state spaces. Here, we introduce …
results on image and waveform generation in continuous state spaces. Here, we introduce …
Score-based generative modeling in latent space
Score-based generative models (SGMs) have recently demonstrated impressive results in
terms of both sample quality and distribution coverage. However, they are usually applied …
terms of both sample quality and distribution coverage. However, they are usually applied …