most citedSEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction

12 citations · 19 across the 5 of their papers we have counts for

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cs.CV2025

The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation

Bingjie Gao, Xinyu Gao, Xiaoxue Wu +5

The evolution of Text-to-video (T2V) generative models, trained on large-scale datasets, has been marked by significant progress. However, the sensitivity of T2V generative models…

cs.CV2024

Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models

Xin Ma, Yaohui Wang, Gengyun Jia +4

Diffusion models have achieved great progress in image animation due to powerful generative capabilities. However, maintaining spatio-temporal consistency with detailed information…

cs.CV2024

Vlogger: Make Your Dream A Vlog

Shaobin Zhuang, Kunchang Li, Xinyuan Chen +4

In this work, we present Vlogger, a generic AI system for generating a minute-level video blog (i.e., vlog) of user descriptions. Different from short videos with a few seconds, vl…

cs.CV202312 cited

SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction

Xinyuan Chen, Yaohui Wang, Lingjun Zhang +7

Recently video generation has achieved substantial progress with realistic results. Nevertheless, existing AI-generated videos are usually very short clips ("shot-level") depicting…

cs.CV2023

Self-Supervised Video Representation Learning via Latent Time Navigation

Di Yang, Yaohui Wang, Quan Kong +4

Self-supervised video representation learning aimed at maximizing similarity between different temporal segments of one video, in order to enforce feature persistence over time. Th…

cs.CV2023

Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation

Zeyu Lu, Chengyue Wu, Xinyuan Chen +4

Diffusion models have attained impressive visual quality for image synthesis. However, how to interpret and manipulate the latent space of diffusion models has not been extensively…