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Found 4 papers, 3 papers with code
GD-VDM: Generated Depth for better Diffusion-based Video Generation
GD-VDM is based on a two-phase generation process involving generating depth videos followed by a novel diffusion Vid2Vid model that generates a coherent real-world video.
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading
We then condition a diffusion model on the video and use the extracted text through a classifier-guidance mechanism where a pre-trained ASR serves as the classifier.
DisCLIP: Open-Vocabulary Referring Expression Generation
Our results highlight the potential of using pre-trained visual-semantic models for generating high-quality contextual descriptions.
Informative Object Annotations: Tell Me Something I Don't Know
Capturing the interesting components of an image is a key aspect of image understanding.
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