Simon Giebenhain
@SGiebenhain
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PhD Student at TUM. Interested in virtual Avatars and Neural Scene Representations.
Munich, Germany
Joined November 2021
Super excited to announce the code and data release for MonoNPHM: The updated NPHM dataset contains 488 textures 3D head scans! It was another great project alongside @TobiasKirschst1 Markos @martin_ruenz @LourdesAgapito @MattNiessner
(1/2) MonoNPHM will be presented as a #CVPR2024 Highlight! Our Neural Parametric Head Model parametrizes both geometry and appearance. With the learned model, we can then 3D reconstruct and track human heads from images or videos.
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RT @angelaqdai: ๐ข ScanNet++ v2 Benchmark Release! ๐ Test your state-of-the-art models on: ๐น Novel View Synthesis ๐ธโก๏ธ๐ผ๏ธ ๐น 3D Semantic & Insโฆ
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RT @manuel_dahnert: Super happy to present our #NeurIPS paper ๐๐จ๐ก๐๐ซ๐๐ง๐ญ ๐๐ ๐๐๐๐ง๐ ๐๐ข๐๐๐ฎ๐ฌ๐ข๐จ๐ง ๐
๐ซ๐จ๐ฆ ๐ ๐๐ข๐ง๐ ๐ฅ๐ ๐๐๐ ๐๐ฆ๐๐ ๐ in Vancouver. Come to oโฆ
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RT @angelaqdai: ๐ขDNF: Generating 4D animations with dictionary-based neural fields! @xinyi092298 presents a new dictionary-based neural fiโฆ
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RT @TobiasKirschst1: Reminder: I will present GGHead at #SIGGRAPHAsia2024 on Friday in the Gaussian Humans session, starting at 10:45am inโฆ
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Happy to present NPGA in the Gaussian Humans session in Hall B5(2) on Friday 10:45. Definitely check out the session, if you are working on virtual human or head avatars. The line-up is amazing.
Presenting super exciting 3DGS, Avatars & Diffusion papers @SIGGRAPHAsia: L3DG: Latent 3D Gaussian Diffusion GGHead: Fast and Generalizable 3D Gaussian Heads NPGA: Neural Parametric Gaussian Avatars
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RT @MattNiessner: Our proposal ๐๐๐ง๐๐: ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐ญ๐จ ๐๐ซ๐๐๐ญ๐ ๐๐ข๐ซ๐ญ๐ฎ๐๐ฅ ๐๐จ๐ซ๐ฅ๐๐ฌ was awarded the #ERC Consolidator Grant! The grant comes with 2.75โฆ
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RT @TobiasKirschst1: I will give a talk at #SIGGRAPHAsia2024 tomorrow with @SGiebenhain in the "Discover Next-Gen 3D Modeling with 3DGaussiโฆ
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RT @MattNiessner: Presenting super exciting 3DGS, Avatars & Diffusion papers @SIGGRAPHAsia: L3DG: Latent 3D Gaussian Diffusion https://t.cโฆ
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RT @TobiasKirschst1: I will present GGHead next week at SIGGRAPH Asia in Tokyo! Swing by in the Gaussian Humans session if you are interestโฆ
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RT @MattNiessner: ๐ข๐๐๐๐: ๐๐๐ญ๐๐ง๐ญ ๐๐ ๐๐๐ฎ๐ฌ๐ฌ๐ข๐๐ง ๐๐ข๐๐๐ฎ๐ฌ๐ข๐จ๐ง๐ข #SIGGRAPHAsia We propose a generative diffusion model for 3D Gaussians. Key is a leโฆ
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@wei_mengti7673 @TobiasKirschst1 @martin_ruenz @LourdesAgapito @MattNiessner Yes, I sent out the information.
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RT @eozakharov: ๐ข Code is out! ๐ข It runs end-to-end from an input video to the visualization below, no manual processing required! I wilโฆ
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RT @MattNiessner: Keynote @eccvconf ๐
๐ซ๐จ๐ฆ ๐๐จ๐ฆ๐ฉ๐ฎ๐ญ๐๐ซ ๐๐ข๐ฌ๐ข๐จ๐ง ๐๐๐ฌ๐๐๐ซ๐๐ก ๐ญ๐จ ๐๐๐๐ฅ-๐๐จ๐ซ๐ฅ๐ ๐๐ ๐๐ฏ๐๐ญ๐๐ซ๐ฌ @LourdesAgapito & @VittoFerrariCV talking aboutโฆ
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RT @TobiasKirschst1: (1/3) Very excited to present GGHead at SiggraphAsia '24! We make 3D GANs work with 3D Gaussians leading to great speeโฆ
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Check out @TobiasKirschst1 new work on equipping a 3D aware GAN framework with the rendering efficiency of 3DGS. GGHead allows to learn complex distribution of closed-domain objects from large 2D image collections.
(1/3) ๐ข๐ข๐๐๐๐๐๐ ๐
๐๐ฌ๐ญ ๐๐ง๐ ๐๐๐ง๐๐ซ๐๐ฅ๐ข๐ณ๐๐๐ฅ๐ ๐๐ ๐๐๐ฎ๐ฌ๐ฌ๐ข๐๐ง ๐๐๐๐๐ฌ๐ข๐ข #SiggraphAsia'24 We generate photo-realistic 3D heads and render them with Gaussian Splatting at 1k resolution in real-time.
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RT @MattNiessner: (1/2) How to accelerate the reconstruction of 3D Gaussian Splatting? 3DGS-LM replaces the commonly used ADAM optimizer wโฆ
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RT @MattNiessner: (1/2) ๐ข๐๐๐๐: ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ซ๐๐ฆ๐๐ญ๐ซ๐ข๐ ๐๐๐ฎ๐ฌ๐ฌ๐ข๐๐ง ๐๐ฏ๐๐ญ๐๐ซ๐ฌ ๐ข #SIGGRAPHAsia We leverage a neural parametric representation to faciliโฆ
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RT @angelaqdai: How can we generate high-fidelity, complex 3D scenes? @QTDSMQ's LT3SD decomposes 3D scenes into latent tree representationโฆ
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RT @MattNiessner: The #GCPR-#VMV'2024 conference program is online, featuring cutting-edge topics across computer vision, graphics, and visโฆ
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RT @MattNiessner: #GCPR'24 and #VMV'24 will be held in Munich from September 10-13th! We have a fantastic set of keynote speakers and inviโฆ
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