Papers 3D Geometry Prediction
“3D Geometry Prediction” 태그가 달린 논문 9편 · 필터 해제
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+5Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
Graph neural networks are emerging as promising methods for modeling molecular graphs, in which nodes and edges correspond to atoms and chemical bonds, respectively. Recent studies show that when 3D molecular geometries,…
3D Geometry PredictionMolecular Property PredictionProperty PredictionLearning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations
This paper focuses on the problem of learning 6-DOF grasping with a parallel jaw gripper in simulation. We propose the notion of a geometry-aware representation in grasping based on the assumption that knowledge of 3D ge…
3D geometry3D Geometry Prediction3D Shape ModelingData AugmentationHierarchical Surface Prediction for 3D Object Reconstruction
Recently, Convolutional Neural Networks have shown promising results for 3D geometry prediction. They can make predictions from very little input data such as a single color image. A major limitation of such approaches i…
3D geometry3D Geometry Prediction3D Object ReconstructionObject+2