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://github.com/agnJason/RGB-D-PIFuHD

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

https://github.com/ahmedosman/STAR

VIBE: Video Inference for Human Body Pose and Shape Estimation

https://github.com/ashawkey/torch-ngp

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

https://github.com/bharat-b7/MultiGarmentNetwork

Multi-Garment Net: Learning to Dress 3D People from Images

https://github.com/blurgyy/jaxngp

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

https://github.com/bycloudai/instant-ngp-windows

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

https://github.com/cardboard-q/pifuhd_demo_model_test

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

https://github.com/cheind/pure-torch-ngp

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

https://github.com/darkAlert/vibe-rt

VIBE: Video Inference for Human Body Pose and Shape Estimation

https://github.com/dizhongzhu/Humanbody_Literatures

Multi-Garment Net: Learning to Dress 3D People from Images

https://github.com/facebookresearch/SparseConvNet

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

https://github.com/gmum/LoCondA

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

https://github.com/hansongfang/CompNet

Compositionally Generalizable 3D Structure Prediction

https://github.com/huochf/StackFLOW

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

https://github.com/ibaiGorordo/ONNX-CenterSnap-6D-Pose-and-Shape-Estimation

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

https://github.com/kair-bair/nerfacc

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

https://github.com/khushgrover/smart-match

Multi-Garment Net: Learning to Dress 3D People from Images

https://github.com/kwea123/ngp_pl

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

https://github.com/maurock/object_reconstruction

Active 3D Shape Reconstruction from Vision and Touch

https://github.com/minar09/MGN

Multi-Garment Net: Learning to Dress 3D People from Images

https://github.com/minar09/MGN-Py3

Multi-Garment Net: Learning to Dress 3D People from Images

https://github.com/minar09/MultiGarmentNetworkPython3

Multi-Garment Net: Learning to Dress 3D People from Images

https://github.com/mlpc-ucsd/bdm

Bayesian Diffusion Models for 3D Shape Reconstruction

https://github.com/naamiinepal/xrayto3d-benchmark

Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction

https://github.com/nerfstudio-project/nerfstudio

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

https://github.com/nvidiagameworks/kaolin-wisp

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

https://github.com/oli4jansen/VIBE_old

VIBE: Video Inference for Human Body Pose and Shape Estimation

https://github.com/salykovaa/instant-DexNerf

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

https://github.com/shunsukesaito/PIFu

PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization

https://github.com/sjb3d/descent/tree/main/examples/image_fit

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

https://github.com/sudarsanGyrus/3D_Pose_VIBE

VIBE: Video Inference for Human Body Pose and Shape Estimation

https://github.com/vevenom/pytorchgeonodes

PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction

https://github.com/xingyuansun/pix3d

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

https://github.com/xuxy09/texformer

3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning

https://github.com/yashbhalgat/HashNeRF-pytorch

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

https://github.com/zubair-irshad/CenterSnap

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

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