专题:3D Shape Modeling and Analysis

This cluster of papers focuses on the analysis, reconstruction, and representation of three-dimensional shapes using deep learning techniques, point clouds, and mesh processing. It covers topics such as 3D classification, segmentation, object recognition, shape reconstruction from single images, surface parameterization, mesh deformation, and texture mapping.
最新文献
PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing

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AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models

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Towards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture

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Progressive Correspondence Regenerator for Robust 3D Registration

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EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation

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Advancing the morphometric analysis of early medieval Slavic pottery: A semi-automated 3D toolset for virtual sections

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PointNet with KAN versus PointNet with MLP for 3D classification and segmentation of point sets

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Winding clearness for differentiable point cloud optimization

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A Study on Automatic Registration of 3D Point Clouds Obtained from Archaeological Trench Investigations

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Polynomial 2D Biharmonic Coordinates for High-order Cages

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近5年高被引文献
NeRF

article Full Text OpenAlex 2901 FWCI224.871

Instant neural graphics primitives with a multiresolution hash encoding

article Full Text OpenAlex 2196 FWCI830.69

ShapeNet: An Information-Rich 3D Model Repository

dataset Full Text OpenAlex 2066 FWCI0

PCT: Point cloud transformer

article Full Text OpenAlex 1426 FWCI181.982

Point Transformer

article Full Text OpenAlex 1388 FWCI156.27

Computer Graphics Forum

paratext Full Text OpenAlex 1264 FWCI0

pixelNeRF: Neural Radiance Fields from One or Few Images

article Full Text OpenAlex 1059 FWCI58.033

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

article Full Text OpenAlex 904 FWCI75.452

D-NeRF: Neural Radiance Fields for Dynamic Scenes

article Full Text OpenAlex 862 FWCI76.83

Plenoxels: Radiance Fields without Neural Networks

article Full Text OpenAlex 842 FWCI70.31