4 papers
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…
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…
UniMAE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving
Jian Zou, Tianyu Huang, Guanglei Yang +4
Masked Autoencoders (MAE) play a pivotal role in learning potent representations, delivering outstanding results across various 3D perception tasks essential for autonomous driving…
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…