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Awesome-Video-Diffusion-Models

An In-depth Examination of Video Diffusion Models for Innovative Generation and Editing Techniques

Product DescriptionThis objective review explores the complexities of video diffusion models, outlining essential tools, methods, and benchmarks for text-to-video (T2V) generation and editing. It sheds light on recent developments in training, model advancements, and evaluation criteria, and offers insights into techniques such as pose-guided and sound-guided video generation. The article also covers key open-source tools and datasets, discussing frameworks and evaluation norms that facilitate the progress and evaluation of state-of-the-art video generative technologies. Suitable for researchers and practitioners, this resource is valuable for advancing innovations in video understanding and enhancement via diffusion methodologies.
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