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20232026
most citedI2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

22 citations · 45 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

PreciseCache: Precise Feature Caching for Efficient and High-fidelity Video Generation

Jiangshan Wang, Kang Zhao, Jiayi Guo +5

High computational costs and slow inference hinder the practical application of video generation models. While prior works accelerate the generation process through feature caching…

cs.CV2025

Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance

Yujie Wei, Shiwei Zhang, Hangjie Yuan +8

Mixture-of-Experts (MoE) has emerged as a powerful paradigm for scaling model capacity while preserving computational efficiency. Despite its notable success in large language mode…

cs.CV2025★ 12 cited

Wan: Open and Advanced Large-Scale Video Generative Models

Team Wan, Ang Wang, Baole Ai +58

This report presents Wan, a comprehensive and open suite of video foundation models designed to push the boundaries of video generation. Built upon the mainstream diffusion transfo…

cs.CV2024

EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation

Xiaofeng Wang, Kang Zhao, Feng Liu +6

Video generation has emerged as a promising tool for world simulation, leveraging visual data to replicate real-world environments. Within this context, egocentric video generation…

cs.CV2024★ 1 cited

UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation

Xiang Wang, Shiwei Zhang, Changxin Gao +5

Recent diffusion-based human image animation techniques have demonstrated impressive success in synthesizing videos that faithfully follow a given reference identity and a sequence…

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…