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dc.contributor.author Gupta, Shreyas
dc.contributor.author Sharma, Ojaswa (Advisor)
dc.date.accessioned 2024-05-06T13:35:09Z
dc.date.available 2024-05-06T13:35:09Z
dc.date.issued 2023-11-29
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/1394
dc.description.abstract Animation of hand-drawn sketches can be a challenge for artists with little to no dedicated experience in animation, even when working with reference videos for movement. information. An inaccurate animation can make the final animation look too unnatural. We propose a framework to automate the task of applying animation to an input sketch using an input reference video. Our framework handles significant challenges, such as mapping a skeleton from one 2D silhouette to another, motion extraction from the video, motion transfer, and resolving occlusions. Given a skeleton on either the sketch or a video frame, we first map it to the other. We then track the skeleton vertices of the video across frames using a sparse point tracking model and transfer the motion to the sketch skeleton. This method allows artists to create skeletal animations without having to animate character motion manually. en_US
dc.language.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Computer Vision en_US
dc.subject Point Tracking en_US
dc.subject Motion Transfer en_US
dc.subject Animation en_US
dc.title AI based sketch animation en_US
dc.type Other en_US


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