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most citedI2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

22 citations · 50 across the 22 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023★ 2 cited

A Recipe for Scaling up Text-to-Video Generation with Text-free Videos

Xiang Wang, Shiwei Zhang, Hangjie Yuan +6

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 s…

cs.CV2023★ 1 cited

InstructVideo: Instructing Video Diffusion Models with Human Feedback

Hangjie Yuan, Shiwei Zhang, Xiang Wang +7

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 unap…

cs.CV2023★ 8 cited

VideoLCM: Video Latent Consistency Model

Xiang Wang, Shiwei Zhang, Han Zhang +4

Consistency models have demonstrated powerful capability in efficient image generation and allowed synthesis within a few sampling steps, alleviating the high computational cost in…

cs.CV2023★ 1 cited

Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation

Zhiwu Qing, Shiwei Zhang, Jiayu Wang +5

Despite diffusion models having shown powerful abilities to generate photorealistic images, generating videos that are realistic and diverse still remains in its infancy. One of th…

cs.CV2023★ 9 cited

DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models

Yifeng Ma, Shiwei Zhang, Jiayu Wang +3

Emotional talking head generation has attracted growing attention. Previous methods, which are mainly GAN-based, still struggle to consistently produce satisfactory results across…

cs.CV2023★ 22 cited

I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Shiwei Zhang, Jiayu Wang, Yingya Zhang +6

Video synthesis has recently made remarkable strides benefiting from the rapid development of diffusion models. However, it still encounters challenges in terms of semantic accurac…