| General Point Model Pretraining with Autoencoding and Autoregressive | Jan 1, 2024 | DecoderLanguage Modeling | CodeCode Available | 0 |
| Unveiling Spaces: Architecturally meaningful semantic descriptions from images of interior spaces | Dec 19, 2023 | Generative Adversarial Networkimage-classification | —Unverified | 0 |
| Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation | Dec 12, 2023 | 3D GenerationDenoising | —Unverified | 0 |
| UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised Reconstruction | Dec 10, 2023 | 3D ReconstructionPoint Cloud Generation | CodeCode Available | 0 |
| WonderJourney: Going from Anywhere to Everywhere | Dec 6, 2023 | Point Cloud GenerationScene Generation | —Unverified | 0 |
| FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation | Nov 20, 2023 | Computational EfficiencyDenoising | —Unverified | 0 |
| General Point Model with Autoencoding and Autoregressive | Oct 25, 2023 | DecoderLanguage Modeling | —Unverified | 0 |
| Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation | Oct 6, 2023 | NeRFPoint Cloud Generation | —Unverified | 0 |
| Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection | Sep 16, 2023 | 3D Object DetectionObject | —Unverified | 0 |
| Select-and-Combine (SAC): A Novel Multi-Stereo Depth Fusion Algorithm for Point Cloud Generation via Efficient Local Markov Netlets | Aug 23, 2023 | Point Cloud GenerationStereo Matching | —Unverified | 0 |
