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agent_aware_affordances

beijing_daxuexi_simple

北京 青年大学习 使用Github Actions自动完成

envawareafford

Official repository of the NeurIPS 2023 paper "Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions"

ics2021fall

nemo

The official implementation of NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation [ICLR-2021]. https://arxiv.org/pdf/2101.12378.pdf

o2oafford

O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning (CoRL 2021)

singlehdr

[CVPR 2020] Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

starter-hugo-academic

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

vat-mart

Code for our ICLR 2022 paper "VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects"

where2act

Where2Act: From Pixels to Actions for Articulated 3D Objects

xv6-riscv-book-chinese