10 citations · 21 across the 11 of their papers we have counts for
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cs.CV2022★ 10 cited
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
Ye Zhu, Yu Wu, Kyle Olszewski +3
Diffusion probabilistic models (DPMs) have become a popular approach to conditional generation, due to their promising results and support for cross-modal synthesis. A key desidera…
cs.CV2022
Supplementing Missing Visions via Dialog for Scene Graph Generations
Zhenghao Zhao, Ye Zhu, Xiaoguang Zhu +2
Most current AI systems rely on the premise that the input visual data are sufficient to achieve competitive performance in various computer vision tasks. However, the classic task…
cs.CV2022
Quantized GAN for Complex Music Generation from Dance Videos
Ye Zhu, Kyle Olszewski, Yu Wu +4
We present Dance2Music-GAN (D2M-GAN), a novel adversarial multi-modal framework that generates complex musical samples conditioned on dance videos. Our proposed framework takes dan…