se(3) equivariance

Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026 Learning Coordinate-based Convolutional Kernels for Continuous SE(3) Equivariant and Efficient Point Cloud Analysis CVPR 2026 Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks ICML 2025 ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY ICLR 2025 SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space ICML 2025 $SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation NeurIPS 2024 Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation CVPR 2024 Equivariant Graph Neural Operator for Modeling 3D Dynamics ICML 2024 Geometric Trajectory Diffusion Models NeurIPS 2024 Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations IJCAI 2024 SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space ICLR 2023 $SE(3)$ Equivariant Convolution and Transformer in Ray Space NeurIPS 2023 Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance ICCV 2023 Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation NeurIPS 2023 SE(3) Equivariant Augmented Coupling Flows NeurIPS 2023 6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing AAAI 2022 Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces ICML 2022 Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds NeurIPS 2021