3 papers
cs.CV2025
ContentV: Efficient Training of Video Generation Models with Limited Compute
Wenfeng Lin, Renjie Chen, Boyuan Liu +10
Recent advances in video generation demand increasingly efficient training recipes to mitigate escalating computational costs. In this report, we present ContentV, an 8B-parameter…
cs.CV2025
EchoVideo: Identity-Preserving Human Video Generation by Multimodal Feature Fusion
Jiangchuan Wei, Shiyue Yan, Wenfeng Lin +3
Recent advancements in video generation have significantly impacted various downstream applications, particularly in identity-preserving video generation (IPT2V). However, existing…
cs.CV2025
CascadeV: An Implementation of Wurstchen Architecture for Video Generation
Wenfeng Lin, Jiangchuan Wei, Boyuan Liu +3
Recently, with the tremendous success of diffusion models in the field of text-to-image (T2I) generation, increasing attention has been directed toward their potential in text-to-v…