3D Shape Reconstruction
2개 벤치마크 · 논문 150편 · 이 태스크의 논문 보기 →
Benchmarks
Pix3D
ApolloCar3D
Most implemented
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Multi-Garment Net: Learning to Dress 3D People from Images
VIBE: Video Inference for Human Body Pose and Shape Estimation
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation
Papers
SEMAGIC: Learning Semantically Consistent Deformable 3D Representations from In-the-Wild Images
Learning deformable 3D object models from single-view in-the-wild images has enabled impressive 3D shape reconstruction without supervision. However, it remains unclear whether these models capture the semantic structure…
3D Shape ReconstructionSemantic correspondenceShapeGrasp: Simultaneous Visuo-Haptic Shape Completion and Grasping for Improved Robot Manipulation
Humans grasp unfamiliar objects by combining an initial visual estimate with tactile and proprioceptive feedback during interaction. We present ShapeGrasp, a robotic implementation of this approach. The proposed method i…
3D Shape ReconstructionRobot ManipulationHighly Deformable Proprioceptive Membrane for Real-Time 3D Shape Reconstruction
Reconstructing the three-dimensional (3D) geometry of object surfaces is essential for robot perception, yet vision-based approaches degrade under low illumination or occlusion. This limitation motivates the design of a …
3D Shape ReconstructionActive Cross-Modal Visuo-Tactile Perception of Deformable Linear Objects
This paper presents a novel cross-modal visuo-tactile perception framework for the 3D shape reconstruction of deformable linear objects (DLOs), with a specific focus on cables subject to severe visual occlusions. Unlike …
3D Shape ReconstructionInstance SegmentationPoint CloudsVoroLight: Learning Voronoi Surface Meshes via Sphere Intersection
Voronoi diagrams naturally produce convex, watertight, and topologically consistent cells, making them an appealing representation for 3D shape reconstruction. However, standard differentiable Voronoi approaches typicall…
3D Shape ReconstructionPoint CloudsRadar2Shape: 3D Shape Reconstruction from High-Frequency Radar using Multiresolution Signed Distance Functions
Determining the shape of 3D objects from high-frequency radar signals is analytically complex but critical for commercial and aerospace applications. Previous deep learning methods have been applied to radar modeling; ho…
3D Shape Reconstruction3D Reconstruction