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arxiv.org arXiv
arxiv.org › abs › 2011.07627v1
The advancement in signal processing and GPU based systems has enabled new transient detectors at various telescopes to perform much more sensitive searches than their predecessors. Typically the data...
arxiv.org arXiv
arxiv.org › abs › 2207.12959v2
Scientific writing is an important skill for a career as a professional astrophysicist. Very few researchers, however, receive any formal training in how to write scientific research papers of high qu...
arxiv.org arXiv
arxiv.org › abs › 2406.01900v3
We present Follow-Your-Emoji, a diffusion-based framework for portrait animation, which animates a reference portrait with target landmark sequences. The main challenge of portrait animation is to pre...
arxiv.org arXiv
arxiv.org › abs › 2305.15266v3
Audio inpainting aims to reconstruct missing segments in corrupted recordings. Most of existing methods produce plausible reconstructions when the gap lengths are short, but struggle to reconstruct ga...
arxiv.org arXiv
arxiv.org › abs › 2110.05503v5
Writing is a vital component of a modern career in scientific research. But how to write correctly and effectively is often not included in the training that young astronomers receive from their super...
arxiv.org arXiv
arxiv.org › abs › 2509.16630v1
We present Follow-Your-Emoji-Faster, an efficient diffusion-based framework for freestyle portrait animation driven by facial landmarks. The main challenges in this task are preserving the identity of...
arxiv.org arXiv
arxiv.org › abs › 2506.05207v2
Recently, breakthroughs in the video diffusion transformer have shown remarkable capabilities in diverse motion generations. As for the motion-transfer task, current methods mainly use two-stage Low-R...
arxiv.org arXiv
arxiv.org › abs › 1908.02590v3
Variational auto-encoders (VAEs) are deep generative latent variable models that can be used for learning the distribution of complex data. VAEs have been successfully used to learn a probabilistic pr...
arxiv.org arXiv
arxiv.org › abs › 2411.18222v1
Efficient audio quality assessment is vital for streamlining audio codec development. Objective assessment tools have been developed over time to algorithmically predict quality ratings from subjectiv...
arxiv.org arXiv
arxiv.org › abs › 2409.01055v1
This paper explores higher-resolution video outpainting with extensive content generation. We point out common issues faced by existing methods when attempting to largely outpaint videos: the generati...