TY - GEN
T1 - Shape Non-rigid Kinematics (SNK)
T2 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023
AU - Attaiki, Souhaib
AU - Ovsjanikov, Maks
N1 - Publisher Copyright:
© 2023 Neural information processing systems foundation. All rights reserved.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - We present Shape Non-rigid Kinematics (SNK), a novel zero-shot method for non-rigid shape matching that eliminates the need for extensive training or ground truth data.SNK operates on a single pair of shapes, and employs a reconstruction-based strategy using an encoder-decoder architecture, which deforms the source shape to closely match the target shape.During the process, an unsupervised functional map is predicted and converted into a point-to-point map, serving as a supervisory mechanism for the reconstruction.To aid in training, we have designed a new decoder architecture that generates smooth, realistic deformations.SNK demonstrates competitive results on traditional benchmarks, simplifying the shape-matching process without compromising accuracy.Our code can be found online: https://github.com/pvnieo/SNK.
AB - We present Shape Non-rigid Kinematics (SNK), a novel zero-shot method for non-rigid shape matching that eliminates the need for extensive training or ground truth data.SNK operates on a single pair of shapes, and employs a reconstruction-based strategy using an encoder-decoder architecture, which deforms the source shape to closely match the target shape.During the process, an unsupervised functional map is predicted and converted into a point-to-point map, serving as a supervisory mechanism for the reconstruction.To aid in training, we have designed a new decoder architecture that generates smooth, realistic deformations.SNK demonstrates competitive results on traditional benchmarks, simplifying the shape-matching process without compromising accuracy.Our code can be found online: https://github.com/pvnieo/SNK.
UR - https://www.scopus.com/pages/publications/85191177568
M3 - Conference contribution
AN - SCOPUS:85191177568
T3 - Advances in Neural Information Processing Systems
BT - Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023
A2 - Oh, A.
A2 - Neumann, T.
A2 - Globerson, A.
A2 - Saenko, K.
A2 - Hardt, M.
A2 - Levine, S.
PB - Neural information processing systems foundation
Y2 - 10 December 2023 through 16 December 2023
ER -