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Training-Free Neural Matte Extraction for Visual Effects: Abstract and Introduction
Manage episode 427698465 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/training-free-neural-matte-extraction-for-visual-effects-abstract-and-introduction.
This study introduces a training-free high quality neural matte extraction approach that specifically targets the assumptions of visual effects production.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #deep-learning, #alpha-matting, #visual-effects, #ai-for-video-conferencing, #deep-learning-approach, #matte-extraction-problem, #ground-truth, #deep-image-prior, and more.
This story was written by: @rendering. Learn more about this writer by checking @rendering's about page, and for more stories, please visit hackernoon.com.
This study introduces a training-free high quality neural matte extraction approach that specifically targets the assumptions of visual effects production.
316 episode
Manage episode 427698465 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/training-free-neural-matte-extraction-for-visual-effects-abstract-and-introduction.
This study introduces a training-free high quality neural matte extraction approach that specifically targets the assumptions of visual effects production.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #deep-learning, #alpha-matting, #visual-effects, #ai-for-video-conferencing, #deep-learning-approach, #matte-extraction-problem, #ground-truth, #deep-image-prior, and more.
This story was written by: @rendering. Learn more about this writer by checking @rendering's about page, and for more stories, please visit hackernoon.com.
This study introduces a training-free high quality neural matte extraction approach that specifically targets the assumptions of visual effects production.
316 episode
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