2022年目前为止,一些2D图片三维重建研究工作汇总!论文速递2022.8.16!

2022-12-11 11:36:18 浏览数 (1)

整理:AI算法与图像处理

CVPR2022论文和代码整理:https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo

ECCV2022论文和代码整理:https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo

最新成果demo展示:

2022年目前为止,一些2D图片三维重建研究工作汇总

ICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)

[Paper] https://arxiv.org/abs/2112.09127

[Project Page] https://icon.is.tue.mpg.de/

[Code] https://github.com/YuliangXiu/ICON

HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video (CVPR 2022)

[Paper] https://arxiv.org/abs/2201.04127

[Code] https://github.com/chungyiweng/humannerf

Accurate 3D Body Shape Regression using Metric and Semantic Attributes

[Project Page] https://shapy.is.tue.mpg.de/

[Code] https://github.com/muelea/shapy

I M Avatar: Implicit Morphable Head Avatars from Videos

[Paper] https://arxiv.org/abs/2112.07471

[Code] https://github.com/zhengyuf/IMavatar

BANMo: Building Animatable 3D Neural Models from Many Casual Videos

[Project Page] https://banmo-www.github.io/


最新论文整理

ECCV2022

Updated on : 16 Aug 2022
total number : 8

Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression

  • 论文/Paper: http://arxiv.org/pdf/2208.07142
  • 代码/Code: None

Learning Semantic Correspondence with Sparse Annotations

  • 论文/Paper: http://arxiv.org/pdf/2208.06974
  • 代码/Code: None

HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields

  • 论文/Paper: http://arxiv.org/pdf/2208.06787
  • 代码/Code: None

TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency

  • 论文/Paper: http://arxiv.org/pdf/2208.06773
  • 代码/Code: None

Flow-Guided Transformer for Video Inpainting

  • 论文/Paper: http://arxiv.org/pdf/2208.06768
  • 代码/Code: https://github.com/hitachinsk/fgt

CCRL: Contrastive Cell Representation Learning

  • 论文/Paper: http://arxiv.org/pdf/2208.06445
  • 代码/Code: None

Pose Forecasting in Industrial Human-Robot Collaboration

  • 论文/Paper: http://arxiv.org/pdf/2208.07308
  • 代码/Code: None

Combating Label Distribution Shift for Active Domain Adaptation

  • 论文/Paper: http://arxiv.org/pdf/2208.06604
  • 代码/Code: None
CVPR2022

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