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Christian Richardt

@cr333.bsky.social
72 followers 56 following 0 posts

Research Scientist at Reality Labs. Working on novel-view synthesis etc. Previously at Uni Bath, Intel VCI, Saarland Uni, MPI Informatik, Inria, and University of Cambridge.

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CVMP @cvmp.bsky.social · 03/12/2025
And four fantastic keynotes from Yi-Zhe Song @peoplecentredai.bsky.social, Christian Richardt @cr333.bsky.social , Angela Dai @adai.bsky.social , and Peter Hedman @peterhedman.bsky.social #CVMP2025
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Zhenjun Zhao @ericzzj.bsky.social · 27/05/2025
Geometry-guided Online 3D Video Synthesis with Multi-View Temporal Consistency Hyunho Ha, Lei Xiao, @cr333.bsky.social, Thu Nguyen-Phuoc, Changil Kim, Min H. Kim, Douglas Lanman, Numair Khan tl;dr:TSDF in synthesized view’s image space->depth maps->image-based blending arxiv.org/abs/2505.18932
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Reposted by Christian Richardt
Zhenjun Zhao @ericzzj.bsky.social · 12/05/2025
Time of the Flight of the Gaussians: Optimizing Depth Indirectly in Dynamic Radiance Fields Runfeng Li, Mikhail Okunev, Zixuan Guo, Anh Ha Duong, @cr333.bsky.social, Matthew O'Toole, @jamestompkin.bsky.social arxiv.org/abs/2505.05356
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Stefano Esposito @s-esposito.bsky.social · 05/05/2025
📢 New paper CVPR 25! Can meshes capture fuzzy geometry? Volumetric Surfaces uses adaptive textured shells to model hair, fur without the splatting / volume overhead. It’s fast, looks great, and runs in real time even on budget phones. 🔗 autonomousvision.github.io/volsurfs/ 📄 arxiv.org/pdf/2409.02482
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Ilya Chugunov @ilyac.info · 11/02/2025
Following an excellent debut at ECCV 2024, we're excited to announce the 2nd Workshop on Neural Fields Beyond Conventional Cameras at this CVPR 2025 in Nashville, Tennessee! Workshop site: neural-bcc.github.io
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Zhenjun Zhao @ericzzj.bsky.social · 10/02/2025
Fillerbuster: Multi-View Scene Completion for Casual Captures @ethanjohnweber.bsky.social, Norman Müller, Yash Kant, Vasu Agrawal, Michael Zollhöfer, Angjoo Kanazawa, @cr333.bsky.social arxiv.org/abs/2502.05175
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Jia-Bin Huang @jbhuang0604.bsky.social · 10/01/2025
How do we go beyond colors and recover the intrinsic scene properties? 🤔 👁️ IRIS: Inverse Rendering of Indoor Scenes IRIS estimates accurate material, lighting, and camera response functions given a set of LDR images, enabling photorealistic and view-consistent relighting and object insertion.
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James Tompkin @jamestompkin.bsky.social · 05/12/2024
But what if you _really_ like reflections? Local Gaussian Density Mixtures updates lumigraphs by optimizing mixtures of per-view volumes for 🌟maximum shine🌟 #SIGGRAPHAsia2024 xchaowu.github.io/papers/lgdm/... First author Xiuchao Wu is graduating soon and is looking for a job!
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