Zobrazeno 1 - 10
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pro vyhledávání: '"VIDEO editing"'
Building on the success of diffusion models in image generation and editing, video editing has recently gained substantial attention. However, maintaining temporal consistency and motion alignment still remains challenging. To address these issues, t
Externí odkaz:
http://arxiv.org/abs/2412.03347
Recent advancements of generative AI have significantly promoted content creation and editing, where prevailing studies further extend this exciting progress to video editing. In doing so, these studies mainly transfer the inherent motion patterns fr
Externí odkaz:
http://arxiv.org/abs/2411.11045
Text-driven video editing utilizing generative diffusion models has garnered significant attention due to their potential applications. However, existing approaches are constrained by the limited word embeddings provided in pre-training, which hinder
Externí odkaz:
http://arxiv.org/abs/2410.12526
With the recent growth of video-based Social Network Service (SNS) platforms, the demand for video editing among common users has increased. However, video editing can be challenging due to the temporally-varying factors such as camera movement and m
Externí odkaz:
http://arxiv.org/abs/2410.07600
Despite the typical inversion-then-editing paradigm using text-to-image (T2I) models has demonstrated promising results, directly extending it to text-to-video (T2V) models still suffers severe artifacts such as color flickering and content distortio
Externí odkaz:
http://arxiv.org/abs/2411.17592
In this era of videos, automatic video editing techniques attract more and more attention from industry and academia since they can reduce workloads and lower the requirements for human editors. Existing automatic editing systems are mainly scene- or
Externí odkaz:
http://arxiv.org/abs/2411.04942