3D Geometry Prediction
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Benchmarks
Molecule3D test
Molecule3D val
Most implemented
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Details
Point Cloud Diffusion Models for Automatic Implant Generation
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
Hierarchical Surface Prediction for 3D Object Reconstruction
Papers
Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models
Spatial intelligence requires visual representations that capture both semantic objects and geometric structure in the physical world. To support this, two major pre-training schemes are now widely used as foundation bac…
3D Geometry PredictionVideo Generation2K Retrofit: Entropy-Guided Efficient Sparse Refinement for High-Resolution 3D Geometry Prediction
High-resolution geometric prediction is essential for robust perception in autonomous driving, robotics, and AR/MR, but current foundation models are fundamentally limited by their scalability to real-world, high-resolut…
3D Geometry PredictionAutonomous DrivingDens3R: A Foundation Model for 3D Geometry Prediction
Recent advances in dense 3D reconstruction have led to significant progress, yet achieving accurate unified geometric prediction remains a major challenge. Most existing methods are limited to predicting a single geometr…
3D Geometry Prediction3D ReconstructionGarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Details
Traditional 3D garment creation is labor-intensive, involving sketching, modeling, UV mapping, and texturing, which are time-consuming and costly. Recent advances in diffusion-based generative models have enabled new pos…
3D Generation3D Geometry Prediction3DGSGarment Reconstruction+2Point Cloud Diffusion Models for Automatic Implant Generation
Advances in 3D printing of biocompatible materials make patient-specific implants increasingly popular. The design of these implants is, however, still a tedious and largely manual process. Existing approaches to automat…
3D Geometry PredictionPoint Cloud CompletionUni-Mol: A Universal 3D Molecular Representation Learning Framework
Molecular representation learning (MRL) has gained tremendous attention due to its critical role in learning from limited supervised data for applications like drug design. In most MRL methods, molecules are treated as 1…
3D geometry3D Geometry PredictionDrug DesignMolecular Property Prediction+5