14 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 14 cited
VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation
Xin Li, Wenqing Chu, Ye Wu +7
In this paper, we present VideoGen, a text-to-video generation approach, which can generate a high-definition video with high frame fidelity and strong temporal consistency using r…
cs.CV2023★ 6 cited
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation
Yizhe Zhang, Tao Zhou, Shuo Wang +3
The Segment Anything Model (SAM) exhibits a capability to segment a wide array of objects in natural images, serving as a versatile perceptual tool for various downstream image seg…