| A Rotation-Invariant Framework for Deep Point Cloud Analysis | Mar 16, 2020 | Point Cloud GenerationRetrieval | CodeCode Available | 1 | 5 |
| NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields | Apr 28, 2023 | Autonomous DrivingNeRF | CodeCode Available | 1 | 5 |
| Learning Gradient Fields for Shape Generation | Aug 14, 2020 | Point Cloud Generation | CodeCode Available | 1 | 5 |
| Learning to Discretize Denoising Diffusion ODEs | May 24, 2024 | DenoisingImage Generation | CodeCode Available | 1 | 5 |
| Generative diffusion model with inverse renormalization group flows | Jan 15, 2025 | Audio SynthesisDenoising | CodeCode Available | 1 | 5 |
| Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification | Apr 2, 2020 | 3D GenerationGeneral Classification | CodeCode Available | 1 | 5 |
| Diffusion Probabilistic Models for 3D Point Cloud Generation | Mar 2, 2021 | Data AugmentationPoint Cloud Generation | CodeCode Available | 1 | 5 |
| Discrete Point Flow Networks for Efficient Point Cloud Generation | Jul 20, 2020 | 3D Shape RepresentationPoint Cloud Generation | CodeCode Available | 1 | 5 |
| Learning to Generate Realistic LiDAR Point Clouds | Sep 8, 2022 | DenoisingPoint Cloud Generation | CodeCode Available | 1 | 5 |
| Taming Transformers for Realistic Lidar Point Cloud Generation | Apr 8, 2024 | DenoisingPoint Cloud Generation | CodeCode Available | 1 | 5 |
