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cs.CV2026

Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation

Jintao Zhang, Kai Jiang, Jintao Chen +32

We present Vidu S2, which comprises Vidu S2-Avatar, a real-time interactive digital-character model, and Vidu S2-Editing, a real-time video editing model. Moreover, we explore the…

cs.CV2026

Vidu S1: A Real-Time Interactive Video Generation Model

Jintao Zhang, Kai Jiang, Jintao Chen +24

We introduce Vidu S1, a real-time interactive video generation model supporting voice control of digital characters. Users can control video generation content at any moment throug…

cs.CV2025

Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation

Xiaochuan Li, Guoguang Du, Runze Zhang +11

Scaling laws have validated the success and promise of large-data-trained models in creative generation across text, image, and video domains. However, this paradigm faces data sca…

cs.CV2025

DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation

Runze Zhang, Guoguang Du, Xiaochuan Li +10

Spatio-temporal consistency is a critical research topic in video generation. A qualified generated video segment must ensure plot plausibility and coherence while maintaining visu…

cs.CV2024

Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline

Qi Jia, Baoyu Fan, Cong Xu +7

Existing video multi-modal sentiment analysis mainly focuses on the sentiment expression of people within the video, yet often neglects the induced sentiment of viewers while watch…