Abstract: We present SegINR, a novel approach to neural Text-to-Speech (TTS) that eliminates the need for either an auxiliary duration predictor or autoregressive (AR) sequence modeling for alignment.
Abstract: The goal of image stitching is to generate high-quality panoramic images with minimal computational cost. However, variations in viewpoint or scene depth can cause parallax effects in ...
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