While next-token prediction is considered a promising path towards artificial general
intelligence, it has struggled to excel in multimodal tasks, which are still dominated by …

The recent years have witnessed great advances in video generation. However, the
development of automatic video metrics is lagging significantly behind. None of the existing …

Video generation requires modeling a vast spatiotemporal space, which demands
significant computational resources and data usage. To reduce the complexity, the …

In this paper, we focus on enhancing a diffusion-based text-to-video (T2V) model during the
post-training phase by distilling a highly capable consistency model from a pretrained T2V …

Large text-to-video models hold immense potential for a wide range of downstream
applications. However, these models struggle to accurately depict dynamic object …

Recent progress in generative diffusion models has greatly advanced text-to-video
generation. While text-to-video models trained on large-scale, diverse datasets can produce …

Current video diffusion models achieve impressive generation quality but struggle in
interactive applications due to bidirectional attention dependencies. The generation of a …

In recent years, the field of text-to-video (T2V) generation has made significant strides.
Despite this progress, there is still a gap between theoretical advancements and practical …

Recent advancements in text-to-video (T2V) generative models have shown impressive
capabilities. However, these models are still inadequate in aligning synthesized videos with …

Existing video generation models struggle to follow complex text prompts and synthesize
multiple objects, raising the need for additional grounding input for improved controllability …