MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion
Onkar Kishor Susladkar, Jishu Sen Gupta, Chirag Sehgal, Sparsh Mittal, Rekha Singhal
2025年份
2顶会引用
摘要
We introduce MotionAura, a novel Text-to-Video generation model that predicts discrete tokens obtained from our large scale pre-trained 3D VAE. The displayed frames represent videos generated by our model when provided with the captions shown below each frame. The following link hosts the above generated videos along with other samples.
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- PyraTok: Language-Aligned Pyramidal Tokenizer for Video Understanding and GenerationOnkar Susladkar, Tushar Prakash, Adheesh Sunil Juvekar, Kiet A. Nguyen 等CVPR 2026 · 被引用 6 次
- Di[M]O: Distilling Masked Diffusion Models Into One-Step GeneratorYuanzhi Zhu, Xi Wang, Stéphane Lathuilière, Vicky KalogeitonICCV 2025
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