Papers with Code 아카이브

3D Shape Reconstruction

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평가표

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/visinf/projects-2018-matryoshka

공식 코드

Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers

https://github.com/728388808/alpha-neus

공식 코드

From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $α$-NeuS

https://github.com/BGUCompSci/ShapeReconstructionPaLS.jl

공식 코드

Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods

https://github.com/Fangkang515/CE3D

공식 코드

Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts

https://github.com/Gaozhongpai/PaiConvMesh

공식 코드

Learning Local Neighboring Structure for Robust 3D Shape Representation

https://github.com/Rowl1ng/Fine-Grained_VR_Sketching

공식 코드

Fine-Grained VR Sketching: Dataset and Insights

https://github.com/Sassanmtr/CenterArt

공식 코드

CenterArt: Joint Shape Reconstruction and 6-DoF Grasp Estimation of Articulated Objects

https://github.com/ThibaultGROUEIX/AtlasNet

공식 코드

AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation

https://github.com/XingangPan/GAN2Shape

공식 코드

Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs

https://github.com/a-nau/CubeRefine-R-CNN

공식 코드

Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics

https://github.com/alexisbdr/e3d

공식 코드

E3D: Event-Based 3D Shape Reconstruction

https://github.com/arsenal9971/poissonnet

공식 코드

Neural Poisson Surface Reconstruction: Resolution-Agnostic Shape Reconstruction from Point Clouds

https://github.com/cangumeli/ROCA

공식 코드

ROCA: Robust CAD Model Retrieval and Alignment from a Single Image

https://github.com/chaitanya100100/TailorNet

공식 코드

TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style

https://github.com/charzharr/miccai23-swipe-implicit-segmentation

공식 코드

SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings

https://github.com/chengzhag/Implicit3DUnderstanding

공식 코드

Holistic 3D Scene Understanding from a Single Image with Implicit Representation

https://github.com/devlearning-gt/3DShapeGen

공식 코드

3D Reconstruction of Novel Object Shapes from Single Images

https://github.com/drsrinathsridhar/xnocs

공식 코드

Multiview Aggregation for Learning Category-Specific Shape Reconstruction

https://github.com/facebookresearch/3D-Vision-and-Touch

공식 코드

3D Shape Reconstruction from Vision and Touch

https://github.com/facebookresearch/Active-3D-Vision-and-Touch

공식 코드

Active 3D Shape Reconstruction from Vision and Touch

https://github.com/facebookresearch/phosa

공식 코드

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

https://github.com/facebookresearch/pifuhd

공식 코드

PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization

https://github.com/gidilittwin/Deep-Meta

공식 코드

Deep Meta Functionals for Shape Representation

https://github.com/gitbosun/arapreg

공식 코드

ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators

https://github.com/haimsaw/OReX

공식 코드

OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields

https://github.com/jchibane/if-net

공식 코드

Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion

https://github.com/jianglongye/gifs

공식 코드

GIFS: Neural Implicit Function for General Shape Representation

https://github.com/jianglongye/implicit-tracking

공식 코드

Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild

https://github.com/jnypan/TMNet

공식 코드

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks

https://github.com/junshengzhou/3dattriflow

공식 코드

3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow

https://github.com/kacperkan/ucsgnet

공식 코드

UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Tree

https://github.com/leilimaster/DmifNet

공식 코드

DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion

https://github.com/lkeab/gsnet

공식 코드

GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision

https://github.com/marcopesavento/Super-resolution-3D-Human-Shape-from-a-Single-Low-Resolution-Image

공식 코드

Super-resolution 3D Human Shape from a Single Low-Resolution Image

https://github.com/maria-korosteleva/Garment-Pattern-Estimation

공식 코드

NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments

https://github.com/microsoft/DualOctreeGNN

공식 코드

Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.