DragAPart: learning a part-level motion prior for articulated objects
We introduce DragAPart, a method that, given an image and a set of drags as input, generates a new image of the same object that responds to the action of the drags. Differently from prior works that focused on repositioning objects, DragAPart predicts part-level interactions, such as opening and cl...
| Huvudupphovsmän: | , , , |
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| Materialtyp: | Internet publication |
| Språk: | English |
| Publicerad: |
2024
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DragAPart: learning a part-level motion prior for articulated objects
Publicerad 2024
Conference item