# Join Us

Neural inverse rendering according to GPT-4V

Welcome to the 3D Deep Learning Reading Group. We are an online community that meets to discuss the latest developments in 3D Deep Learning and their applications in the virtual and physical world. We are particularly interested in 3D Gaussian Splatting, Neural Fields, Implicit Representations, 3D Reconstruction and Generation, 3D in Robotics and VR/AR, among other topics. Please check a curated list of resources at the end of the page. We welcome all suggestions on the reading group and paper discussion. Join us to stay current on this exciting field!

# Sessions

When	Presenter	What	Notes
17/05/2023	Mauro Comi	Neural Fields in Visual Computing and Beyond, Part 1	[paper] [our slides]
29/05/2023	Mauro Comi	Neural Fields in Visual Computing and Beyond, Part 2	[paper]
05/06/2023	Zubair Irshad	Neural Fields in Robotics Part 1
12/06/2023	Zubair Irshad	Neural Fields in Robotics Part 2
03/07/2023	Mauro Comi	Interesting papers from CVPR 2023	BundleSDF, SPARF, WIRE, FlowCAM, and more
17/07/2023	Mauro Comi	Interesting papers from CVPR 2023	FLowDiffusion, Deformable NeRF, HyperReel, and more
16/08/2023	Daniel Escobar	Diffusion for 3D generation	Text2NeRF, Text2Room, GenVS
23/08/2023	Mauro Comi	3D Gaussians splatting	3D Gaussian Splatting
01/09/2023	Mauro Comi	Dynamic 3D Gaussians	Dynamic 3DGS
BREAK
17/04/2024	Mauro Comi	Physics and 3D Gaussian Splatting	PhysGaussian, Spring-Mass 3DGS
29/04/2024	Mauro Comi	LLMs and 3D Gaussian Splatting	Feature 3DGS, Gaussian Grouping
BREAK
09/04/2025	Brian Kim	MeshUp	[paper]
16/04/2025	Andreea Ardelean	Gen3DSR	[paper]
23/04/2025	Hengyi Wang	Spanner	[paper]

# Useful Resources

• This repository on Github
• Neural Fields in Robotics: A Survey: survey paper that analyses more than 200 works on Neural Fields in the simulated and real-world.
• Awesome 3D Gaussian Splatting: comprehensive list of papers on 3D Gaussian Splatting, curated by Janusch (aka MrNeRF)
• hu-po YoutTube stream: amazing videos on various papers, often in the realm of 3D Vision and generative models.
• 3DV’24 3D Gaussian Splatting tutorial: Tutorial on 3DGS, presented by the main authors of the original paper.
• Awesome-Implicit-NeRF-Robotics: list of Implicit Representations and NeRF papers relevant to the physical world. Curated by Zubair Irshad.
• Awesome Implicit Neural Representations: list of Implicit Representations and NeRF papers.
• Machine Learning for 3D Data: course on Machine Learning for 3D data organised by Assistant Professor Minhyuk Sung (KAIST).
• ECCV 2022 Tutorial - Neural Volumetric Rendering for Computer Vision: Tutorial on Neural Volumetric Rendering (Matt Tancik, Ben Mildenhall, Pratul Srinivasan, Jon Barron, Angjoo Kanazawa)

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3D Deep Learning Reading Group is maintained by Mauro Comi. Theme by researcher