Papers with Code 아카이브

Reconstruction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

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평가표

5

보존된 평가 기록

5

코드

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

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/charlesCXK/3D-SketchAware-SSC

3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior

https://github.com/charlesCXK/TorchSSC

3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior

https://github.com/chenshuang-zhang/imagenet_d

Nerfies: Deformable Neural Radiance Fields

https://github.com/chingswy/HumanPoseMemo

Self-supervised Learning of Motion Capture

https://github.com/czq142857/im-net

Learning Implicit Fields for Generative Shape Modeling

https://github.com/czq142857/im-net-pytorch

Learning Implicit Fields for Generative Shape Modeling

https://github.com/dmarnerides/hdr-expandnet

ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content

https://github.com/google-research/google-research/tree/master/unprocessing

Unprocessing Images for Learned Raw Denoising

https://github.com/goutamgmb/NTIRE21_BURSTSR

Unprocessing Images for Learned Raw Denoising

https://github.com/hailieqh/3d-object-primitive-graph

PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes

https://github.com/huochf/StackFLOW

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

https://github.com/jazcollins/amazon-berkeley-objects

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding

https://github.com/jeffffffli/HybrIK

HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-body Mesh Recovery

https://github.com/jiean001/models_m/tree/main/DecoMR

3D Human Mesh Regression with Dense Correspondence

https://github.com/kach/softraxterizer

Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning

https://github.com/linz94/mfin-cycle

Temporal Interpolation via Motion Field Prediction

https://github.com/loping151/forplane

Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

https://github.com/markomih/splatfields

SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction

https://github.com/naver/posebert

Leveraging MoCap Data for Human Mesh Recovery

https://github.com/nv-tlabs/DIB-R

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

https://github.com/nvlabs/umr

Self-supervised Single-view 3D Reconstruction via Semantic Consistency

https://github.com/open-mmlab/mmpose

SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos

https://github.com/otaheri/GOAL

ICON: Implicit Clothed humans Obtained from Normals

https://github.com/sagieppel/Predicting-3D-shape-of-liquid-and-objects-inside-transparent-vessels-as-XYZ-map-from-a-single-image

Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI dataset

https://github.com/shuhongchen/panic3d-anime-reconstruction

PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters

https://github.com/shunsukesaito/PIFu

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

https://github.com/skyworkai/mvgamba

Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction

https://github.com/szymanowiczs/viewset-diffusion

Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data

https://github.com/tattaka/unsupervised-hdr-imaging

Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?

https://github.com/tingtingliao/mvphuman

SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks

https://github.com/umich-curly/3dmapping

LMSCNet: Lightweight Multiscale 3D Semantic Completion

https://github.com/vast-ai-research/triplanegaussian

Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers

https://github.com/wang-kangkang/SideWindowFilter-pytorch

Side Window Filtering

https://github.com/wqyin/smplest-x

SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation

https://github.com/xiaoqianruan1/partonomic_reconstruction

Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency

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