[참고 자료] Graphics

https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/
https://huggingface.co/blog/gaussian-splatting
https://www.matthewtancik.com/nerf
https://modulabs.co.kr/blog/nerf-from-2d-to-3d/
https://github.com/graphdeco-inria/gaussian-splatting
https://pjreddie.com/darknet/
https://github.com/open-mmlab/PIA
https://vobecant.github.io/POP3D/
https://robodrive-24.github.io/
https://github.com/ashawkey/stable-dreamfusion
https://research.nvidia.com/labs/toronto-ai/DMTet/
https://nvlabs.github.io/nvdiffrec/
https://research.nvidia.com/labs/dir/magic3d/
https://github.com/chinhsuanwu/dreamfusionacc
https://openaccess.thecvf.com/content_ICCV_2019/papers/Oh_Video_Object_Segmentation_Using_Space-Time_Memory_Networks_ICCV_2019_paper.pdf
https://myeongahcho.com/publication/conference-paper/
https://dcahn12.github.io/projects/CMOTA/
https://openaccess.thecvf.com/content/ICCV2021/papers/Kang_CAG-QIL_Context-Aware_Actionness_Grouping_via_Q_Imitation_Learning_for_Online_ICCV_2021_paper.pdf