A survey on video diffusion models

Z Xing, Q Feng, H Chen, Q Dai, H Hu, H Xu… - ACM Computing …, 2023 - dl.acm.org
The recent wave of AI-generated content (AIGC) has witnessed substantial success in
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …

Sora: A review on background, technology, limitations, and opportunities of large vision models

Y Liu, K Zhang, Y Li, Z Yan, C Gao, R Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Sora is a text-to-video generative AI model, released by OpenAI in February 2024. The
model is trained to generate videos of realistic or imaginative scenes from text instructions …

Vbench: Comprehensive benchmark suite for video generative models

Z Huang, Y He, J Yu, F Zhang, C Si… - Proceedings of the …, 2024 - openaccess.thecvf.com
Video generation has witnessed significant advancements yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …

I2vgen-xl: High-quality image-to-video synthesis via cascaded diffusion models

S Zhang, J Wang, Y Zhang, K Zhao, H Yuan… - arXiv preprint arXiv …, 2023 - arxiv.org
Video synthesis has recently made remarkable strides benefiting from the rapid
development of diffusion models. However, it still encounters challenges in terms of …

Dynamicrafter: Animating open-domain images with video diffusion priors

J Xing, M Xia, Y Zhang, H Chen, X Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Animating a still image offers an engaging visual experience. Traditional image animation
techniques mainly focus on animating natural scenes with stochastic dynamics (eg clouds …

A recipe for scaling up text-to-video generation with text-free videos

X Wang, S Zhang, H Yuan, Z Qing… - Proceedings of the …, 2024 - openaccess.thecvf.com
Diffusion-based text-to-video generation has witnessed impressive progress in the past year
yet still falls behind text-to-image generation. One of the key reasons is the limited scale of …

Scalecrafter: Tuning-free higher-resolution visual generation with diffusion models

Y He, S Yang, H Chen, X Cun, M Xia… - The Twelfth …, 2023 - openreview.net
In this work, we investigate the capability of generating images from pre-trained diffusion
models at much higher resolutions than the training image sizes. In addition, the generated …

ART-V: Auto-Regressive Text-to-Video Generation with Diffusion Models

W Weng, R Feng, Y Wang, Q Dai… - Proceedings of the …, 2024 - openaccess.thecvf.com
We present ART-V an efficient framework for auto-regressive video generation with diffusion
models. Unlike existing methods that generate entire videos in one-shot ART-V generates a …

Animate-a-story: Storytelling with retrieval-augmented video generation

Y He, M Xia, H Chen, X Cun, Y Gong, J Xing… - arXiv preprint arXiv …, 2023 - arxiv.org
Generating videos for visual storytelling can be a tedious and complex process that typically
requires either live-action filming or graphics animation rendering. To bypass these …

InstructVideo: instructing video diffusion models with human feedback

H Yuan, S Zhang, X Wang, Y Wei… - Proceedings of the …, 2024 - openaccess.thecvf.com
Diffusion models have emerged as the de facto paradigm for video generation. However
their reliance on web-scale data of varied quality often yields results that are visually …