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Video Colorization with Pre-trained Text-to-Image Diffusion Models
Video colorization is a challenging task that involves inferring plausible and temporally consistent colors for grayscale frames. -
LV-BERT: Exploiting Layer Variety for BERT
Modern pre-trained language models are mostly built upon backbones stacking self-attention and feed-forward layers in an interleaved order. This paper aims to improve...