Papers › SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space

SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space

2 Jul 2025arXiv:2507.01723links table onlyarchive 2025-07-28

Xupeng Zhu, Fan Wang, Robin Walters, Jane Shi

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Diffusion Policies are effective at learning closed-loop manipulation policies from human demonstrations but generalize poorly to novel arrangements of objects in 3D space, hurting real-world performance. To address this issue, we propose Spherical Diffusion Policy (SDP), an SE(3) equivariant diffusion policy that adapts trajectories according to 3D transformations of the scene. Such equivariance is achieved by embedding the states, actions, and the denoising process in spherical Fourier space. Additionally, we employ novel spherical FiLM layers to condition the action denoising process equivariantly on the scene embeddings. Lastly, we propose a spherical denoising temporal U-net that achieves spatiotemporal equivariance with computational efficiency. In the end, SDP is end-to-end SE(3) equivariant, allowing robust generalization across transformed 3D scenes. SDP demonstrates a large performance improvement over strong baselines in 20 simulation tasks and 5 physical robot tasks including single-arm and bi-manual embodiments. Code is available at https://github.com/amazon-science/Spherical_Diffusion_Policy.

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CoefficientMappingModule amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository ran MIT (permissive) · bd7665c6ec3fdf17 · report
EquivariantLayerNormArray amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository ran MIT (permissive) · f43a7afa13f20c0c · report
EquivariantLayerNormArraySphericalHarmonics amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository ran MIT (permissive) · 7396c5f691aa5a6f · report
EquivariantRMSNormArraySphericalHarmonicsV2 amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository ran MIT (permissive) · a78274f2ca486503 · report
IrrepLinear amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository ran MIT (permissive) · 01079c06cf6d2ff6 · report
ModuleListInfo amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository ran MIT (permissive) · d468bb391f0775e4 · report
get_l_to_all_m_expand_index amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository ran · honoured contract fingerprinted MIT (permissive) · d4c1ba3933fbb7ac · report
IrrepConditionalResidualBlock1D amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository unverified MIT (permissive) · eded0b18d7e7bdb2 · report
IrrepConditionalUnet1D amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository unverified MIT (permissive) · df2e4466781e066a · report
IrrepConv1dBlock amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository unverified MIT (permissive) · ff6c9db8e5c32a09 · report
S2Activation amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository unverified MIT (permissive) · 240fb4690bd2baa4 · report
SO3_Grid amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository unverified MIT (permissive) · 3f45cce7d71e0c40 · report
SeparableS2Activation amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository unverified MIT (permissive) · 640b1491e4993029 · report
get_normalization_layer amazon-science/Spherical_Diffusion_Policy/sdp/model/equivariant_diffusion/irreps_conditional_unet1d.py official repository unverified MIT (permissive) · f7554c4575963d16 · report

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Robot Manipulation MimicGen SDP Succ. Rate (12 tasks, 100 demo/task) 76 #1 of 7 Archive leaderboard report

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