activity
20242026
most citedAtomoVideo: High Fidelity Image-to-Video Generation

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

ContextMaster: Interactive Multi-Shot Video Creation via Fixed-Budget Sparse Context Routing

Xu Guo, Zhengxuan Wei, Xinghui Li +11

Recent video models increasingly support generation, reference conditioning, and editing within a single model, yet typically expose them as separate operations over fixed inputs.…

cs.CV2026

Geometry-Aware Implicit Memory for Video World Models

Zhengxuan Wei, Xu Guo, Xinghui Li +8

Video world models aim to simulate controllable visual environments, but long-horizon rollouts depend on what the model remembers after observations leave its native context window…

cs.SD2025

Video Echoed in Music: Semantic, Temporal, and Rhythmic Alignment for Video-to-Music Generation

Xinyi Tong, Yiran Zhu, Jishang Chen +9

Video-to-Music generation seeks to generate musically appropriate background music that enhances audiovisual immersion for videos. However, current approaches suffer from two criti…

cs.CV2025

Identity-Preserving Image-to-Video Generation via Reward-Guided Optimization

Liao Shen, Wentao Jiang, Yiran Zhu +4

Recent advances in image-to-video (I2V) generation have achieved remarkable progress in synthesizing high-quality, temporally coherent videos from static images. Among all the appl…

cs.CV2024

Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation

Weijie Li, Litong Gong, Yiran Zhu +4

Image-to-video (I2V) generation tasks always suffer from keeping high fidelity in the open domains. Traditional image animation techniques primarily focus on specific domains such…

cs.CV2024★ 1 cited

AtomoVideo: High Fidelity Image-to-Video Generation

Litong Gong, Yiran Zhu, Weijie Li +4

Recently, video generation has achieved significant rapid development based on superior text-to-image generation techniques. In this work, we propose a high fidelity framework for…