A comprehensive survey of ai-generated content (aigc): A history of generative ai from gan to chatgpt

Y Cao, S Li, Y Liu, Z Yan, Y Dai, PS Yu… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, ChatGPT, along with DALL-E-2 and Codex, has been gaining significant attention
from society. As a result, many individuals have become interested in related resources and …

Diffusion models in vision: A survey

FA Croitoru, V Hondru, RT Ionescu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Denoising diffusion models represent a recent emerging topic in computer vision,
demonstrating remarkable results in the area of generative modeling. A diffusion model is a …

Align your latents: High-resolution video synthesis with latent diffusion models

A Blattmann, R Rombach, H Ling… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Latent Diffusion Models (LDMs) enable high-quality image synthesis while avoiding
excessive compute demands by training a diffusion model in a compressed lower …

Realfusion: 360deg reconstruction of any object from a single image

L Melas-Kyriazi, I Laina… - Proceedings of the …, 2023 - openaccess.thecvf.com
We consider the problem of reconstructing a full 360deg photographic model of an object
from a single image of it. We do so by fitting a neural radiance field to the image, but find this …

Diffusion models: A comprehensive survey of methods and applications

L Yang, Z Zhang, Y Song, S Hong, R Xu, Y Zhao… - ACM Computing …, 2023 - dl.acm.org
Diffusion models have emerged as a powerful new family of deep generative models with
record-breaking performance in many applications, including image synthesis, video …

On distillation of guided diffusion models

C Meng, R Rombach, R Gao… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Lion: Latent point diffusion models for 3d shape generation

A Vahdat, F Williams, Z Gojcic… - Advances in …, 2022 - proceedings.neurips.cc
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 …

Elucidating the design space of diffusion-based generative models

T Karras, M Aittala, T Aila… - Advances in neural …, 2022 - proceedings.neurips.cc
We argue that the theory and practice of diffusion-based generative models are currently
unnecessarily convoluted and seek to remedy the situation by presenting a design space …

Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

C Lu, Y Zhou, F Bao, J Chen, C Li… - Advances in Neural …, 2022 - proceedings.neurips.cc
Diffusion probabilistic models (DPMs) are emerging powerful generative models. Despite
their high-quality generation performance, DPMs still suffer from their slow sampling as they …

Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models

C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu - arXiv preprint arXiv:2211.01095, 2022 - arxiv.org
Diffusion probabilistic models (DPMs) have achieved impressive success in high-resolution
image synthesis, especially in recent large-scale text-to-image generation applications. An …