Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome-Implicit-NeRF-Robotics

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
https://github.com/zubair-irshad/Awesome-Implicit-NeRF-Robotics

[Paper
[Paper - irshad/shapo)] [[Webpage](https://zubair-irshad.github.io/projects/ShAPO.html)] [[Video](https://youtu.be/LMg7NDcLDcA)]
[Paper - code)] [[Webpage](https://linhuang17.github.io/NCF/)]
[Paper - Sim-NeRF)] [[Webpage](https://fylwen.github.io/disp6d.html)]
[Paper - 6D)] [[Webpage](https://nerf2nerf.github.io/)] [[Video](https://youtu.be/GTBfCB2A7sI)]
[Paper - thu/SNAKE)]
[Paper
[Paper
[Paper - public)] [[Website](https://yenchenlin.me/inerf/)] [[Dataset](https://github.com/BerkeleyAutomation/dex-nerf-datasets)]
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper - 6D)]
[Paper
[Paper - research/nerf-from-image)]
[Paper
[Paper
[Paper - Det]
[Paper
[Paper
[Paper - slam)] [[Website](https://pengsongyou.github.io/nice-slam?utm_source=catalyzex.com)]
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper - surf)]
[Paper
[Paper
[Paper - asl/panoptic_mapping)]
[Paper
[Paper
[Paper - SPARK/Loc-NeRF)] [[Video](https://www.youtube.com/watch?v=yIgl3kbpbXY)]
[Paper - fusion/)] [[Pytorch Code](https://github.com/zju3dv/Vox-Fusion)] [[Video](https://www.youtube.com/watch?v=Prp28y1b2Qs)]
[Paper
[Paper
[Paper
[Paper - xingyu.github.io/L2G-NeRF/)] [[code](https://github.com/rover-xingyu/L2G-NeRF)]
[Paper - STAR/H2-Mapping)]
[Paper
[Paper
[Paper
[Paper
[Paper - mcl)]
[Paper - X-IdI)]
[Paper
[Paper
[Paper
[Paper - slam.github.io/neuse/)]
[Paper
[Paper
[Paper
[Paper - LOAM)]
[Paper - asl/neuralblox)]
[Paper - pub/di-fusion)]
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper - Fusion/)]
[Paper
[Paper - SLAM)]
[Paper
[Paper
[Paper - Git/RO-MAP)] [[Video](https://www.youtube.com/watch?v=sFrLXPw40wU)]
[Paper
[Paper
[Paper
[paper
[Paper/PDF
[Paper
[Paper
[Paper - Austin-RPL/Ditto)] [[Website](https://ut-austin-rpl.github.io/Ditto/)]
[Paper - ndf/)]
[Paper
[Paper - nerf)]
[Paper - rl/)]
[Paper - pEhT1pi-Q)]
[Paper
[Paper - nerf)]
[Paper - supervision-public)] [[Website](https://yenchenlin.me/nerf-supervision/)]
[Paper - Austin-RPL/GIGA)] [[Website](https://sites.google.com/view/rpl-giga2021)]
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper - frenemy/)]
[Paper
[Paper - visio-tactile-implicit-representations-of-deformable-objects/)]
[Paper
[Paper - 03_object-rearrangement-using-learned-implicit-collision-functions)]
[Paper - 03_rgb-d-local-implicit-function-depth-completion-transparent-objects)]
[Paper
[Paper - nets)]
[Paper - priors)]
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper - grasp-distance-fields?pli=1)] [[Pytorch Code](https://github.com/facebookresearch/NGDF/)]
[Paper
[Paper
[Paper - mpc/)]
[Paper
[Paper - air/EndoNeRF)]
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper - SDF)]
[Paper - nerf)]
[Paper - networks)]
[Paper - wv_Xg)]
[Paper - NeRF)] [[Video](https://youtu.be/Md0PM-wv_Xg)] [[Pytorch Code](https://github.com/xuan-li/PAC-NeRF)]
[Paper
[Paper
[Paper - param-inference/)]
[Paper
[Paper
[Paper - navigation)] [[Website](https://mikh3x4.github.io/nerf-navigation/)]
[Paper - hero.github.io/RNRmap/)]
[Paper (https://arxiv.org/pdf/2209.08409.pdf)
[Paper - representation-learning.github.io/nerf-dy/)]
[Paper
[Paper - visual-constraints)]
[Paper - 04_learning-continuous-environment-fields-implicit-functions)]
[Paper
[Paper
[Paper
[Paper
[Paper - fields)] [[Website](https://mahis.life/clip-fields/)]
[Paper - lab/voxfield)]
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper - mcl)]
[Paper - mcl)]
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper - zeng.github.io/EVPP/)

Programming Languages

Python 1