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πŸ†”πŸ†” Magic-Me: Identity-Specific Video πŸ†”πŸ†”

πŸ‘‰hashtag#ByteDance (+UC Berkeley) unveils VCD for video-gen: with just a few images of a specific identity it can generate temporal consistent videos aligned with the given prompt. Impressive results, source code under Apache 2.0 πŸ’™

𝐇𝐒𝐠𝐑π₯𝐒𝐠𝐑𝐭𝐬:
βœ…Novel Video Custom Diffusion (VCD) framework
βœ…High-Quality ID-specific videos generation
βœ…Improvement in aligning IDs-images and text
βœ…Robust 3D Gaussian Noise Prior for denoising
βœ…Better Inter-frame correlation / video consistency
βœ…New modules F-VCD/T-VCD for videos upscale
βœ…New train with masked loss by prompt-to-segmentation

hashtag#artificialintelligence hashtag#machinelearning hashtag#ml hashtag#AI hashtag#deeplearning hashtag#computervision hashtag#AIwithPapers hashtag#metaverse

πŸ‘‰Channel: @deeplearning_ai
πŸ‘‰Paper https://arxiv.org/pdf/2402.09368.pdf
πŸ‘‰Project https://magic-me-webpage.github.io/
πŸ‘‰Code https://github.com/Zhen-Dong/Magic-Me



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πŸ†”πŸ†” Magic-Me: Identity-Specific Video πŸ†”πŸ†”

πŸ‘‰hashtag#ByteDance (+UC Berkeley) unveils VCD for video-gen: with just a few images of a specific identity it can generate temporal consistent videos aligned with the given prompt. Impressive results, source code under Apache 2.0 πŸ’™

𝐇𝐒𝐠𝐑π₯𝐒𝐠𝐑𝐭𝐬:
βœ…Novel Video Custom Diffusion (VCD) framework
βœ…High-Quality ID-specific videos generation
βœ…Improvement in aligning IDs-images and text
βœ…Robust 3D Gaussian Noise Prior for denoising
βœ…Better Inter-frame correlation / video consistency
βœ…New modules F-VCD/T-VCD for videos upscale
βœ…New train with masked loss by prompt-to-segmentation

hashtag#artificialintelligence hashtag#machinelearning hashtag#ml hashtag#AI hashtag#deeplearning hashtag#computervision hashtag#AIwithPapers hashtag#metaverse

πŸ‘‰Channel: @deeplearning_ai
πŸ‘‰Paper https://arxiv.org/pdf/2402.09368.pdf
πŸ‘‰Project https://magic-me-webpage.github.io/
πŸ‘‰Code https://github.com/Zhen-Dong/Magic-Me

BY Artificial Intelligence && Deep Learning


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