shape.md

Shape

• (WACV'21) End-to-end Lane Shape Prediction with Transformers, [Paper], [Code]
• (arXiv 2022.01) ShapeFormer: Transformer-based Shape Completion via Sparse Representation, [Paper], [Project]
• (arXiv 2022.10) AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation, [Paper]
• (arXiv 2022.10) mm-Wave Radar Hand Shape Classification Using Deformable Transformers, [Paper]
• (arxiv 2023.07) DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation, [Paper]
• (arxiv 2023.09) DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image, [Paper]
• (arxiv 2024.05) PT43D: A Probabilistic Transformer for Generating 3D Shapes from Single Highly-Ambiguous RGB Images, [Paper]
• (arxiv 2024.07) PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers, [Paper]
• (arxiv 2024.09) VSFormer: Mining Correlations in Flexible View Set for Multi-view 3D Shape Understanding, [Paper], [Code]
• (arxiv 2024.11) POC-SLT: Partial Object Completion with SDF Latent Transformers, [Paper]
• (arxiv 2024.11) Geometric Point Attention Transformer for 3D Shape Reassembly, [Paper]