3 papers
cs.CV2026
ICDepth: Taming Video Diffusion Models for Video Depth Estimation via In-Context Conditioning
Xuanhua He, Jiaxin Xie, Mingzhe Zheng +1
Monocular video depth estimation requires temporal consistency, geometric accuracy, and generalization across diverse scenarios, yet existing methods struggle to achieve all three…
cs.CV2024
ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement
Zhefan Rao, Liya Ji, Yazhou Xing +6
Text-to-video (T2V) generation has gained significant attention recently. However, the costs of training a T2V model from scratch remain persistently high, and there is considerabl…
cs.CV2024
Large Motion Video Autoencoding with Cross-modal Video VAE
Yazhou Xing, Yang Fei, Yingqing He +4
Learning a robust video Variational Autoencoder (VAE) is essential for reducing video redundancy and facilitating efficient video generation. Directly applying image VAEs to indivi…