#3D
13 articles with this tag
Lumotive Secures $14M for Liquid Crystal Beamforming Chips
ReSpo.Vision Secures €4.2 Million to Revolutionize Football Fan Experience
SpAItial Secures $13M Seed Funding to Revolutionize 3D Model Generation
Flam Raises $14M to Scale AI Infra for Brand and Marketing Industry Globally
<p>Flam is already being used by 100+ global brands including Google, Samsung and Emirates who are embracing engaging media at scale. Flam-built real-time mixed reality campaigns have reached over 580 million users.</p>
404-GEN Releases Largest Open-Source 3D Model Dataset, Gaussian Splatting and Beyond
Ever After Foods Secures $10 Million Funding
Advancing Neurotoxicity Research with INTEGRA Biosciences Pipettes
Villa Metaverse creation platform at 500,000 active users and $1 Million Annual Recurring Revenue over Meta Quest
CommonGround Raises $25 Million to Enable Immersive 3D Meetings, Minus the VR Headset
Emmy award-winning team is dismantling the barriers to being seen, heard, and understood in online meetings without requiring a VR headset. CommonGround is now beta testing its 'TrueSelf Scan' creation app on the iPhone.
Beyeonics Vision has completed the CE Mark registration for its Beyeonics One™ ophthalmic exoscope
The Next Frontier: Computer Vision on 3D data - with Or Litany, Sr. Research Scientist, Nvidia
Gil Elbaz hosts Or Litany, a senior research scientist at Nvidia. They discuss the impact of 3D on computer vision and where it’s going in the near future. As well, they talk about the impact of industry on academia and vice versa. Or speaks about the future of 3D generative models, NeRF and how multi-modal models are changing computer vision. Together, Gil and Or explore the best ways to succeed in the field of AI. TOPICS & TIMESTAMPS [0:34] Intro [2:01] Starting his journey [5:03] Heat transfer equation in graphics [10:21] Multimodal changing Computer Vision [17:47] Why is 3D Important? [23:17] 3D Generative Models in the next years [26:25] Neural Rendering [29:39] Connection between images/video & 3D [31:39] Temporal Data [33:45] Autonomous Driving & Simulation [36:27] Prof Leonidas Guibas [41:56] NeRF & Editing 3D information [46:02] Manipulation of 3D representations [52:23] Future of NeRF [1:02:31] Google [1:06:03] Meta [FAIR] experience [1:09:57] Nvidia [1:10:58] Sanya Fidler [1:16:38] Consciousness [1:21:31] Career Tips for Computer Vision Engineers Or Litany: LinkedIn Google Scholar Github Interesting links: Alex Bronstein Angel Chang Sanja Fidler Leonidas Guibas Judy Hoffman Justin Johnson Fei-Fei Li Ameesh Makadia Manolis Saava Srinath Sridhar Charles Ruizhongtai Qi PointNet Red-Black Tree Nvidia Two minute papers The Three Body Problem EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks GUEST BIO Our guest is Or Litany. Or Litany currently works as a senior research scientist at Nvidia. He earned his BSC in physics and mathematics from Hebrew University and his master's degree from the Technion. After that, he went on to do his PhD at Tel Aviv University, where he worked on analyzing 3D data with graph neural networks under professor Alex Bronstein. For his postdoc, Or attended Stanford University studying under the legendary professor Leonidas Guibas, as well as working as part of FAIR, the research group of Meta, where he pushed the cutting edge of 3D data analysis. Or is an extremely accomplished researcher with research that focuses on 3D deep learning for scene understanding, point cloud analysis and shape analysis. In 2023, Or will be joining the Technion as an assistant professor. ABOUT THE HOST I’m Gil Elbaz, Co-founder and CTO of Datagen. In this podcast, I speak with interesting computer vision thinkers and practitioners. I ask the big questions that touch on the issues and challenges that ML and CV engineers deal with every day. On the way, I hope you uncover a new subject or gain
Israeli Startup Verto Raises $1.2 Million Seed Funding for AI-driven 3D Product Visualization
