GitHub - NVlabs/zero-msf: [CVPR 2025] ZeroMSF: Zero-shot Monocular Scene Flow Estimation in the Wild
[CVPR 2025] ZeroMSF: Zero-shot Monocular Scene Flow Estimation in the Wild - NVlabs/zero-msf
π·π·=> βοΈ? Need 3D scene flow from _two_ images, single camera, with the goal of generalized performance? Inference code and model weights now out for the CVPR 2025 ZeroMSF method github.com/NVlabs/zero-...
By Yiqing Liang lynl7130.github.io with Abhishek Badki, Hang Su, and Orazio Gallo at NVIDIA.
08.10.2025 01:14 β
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AI for Content Creation workshop @ #CVPR2025 - Grand Ballroom A1 - 4pm - panel on "Open Source in AI and the Creative Industry" - with @magrawala.bsky.social (Stanford), Cherry Zhao (Adobe), Ishan Misra (Meta) and @jonbarron.bsky.social (Google) - go go!
12.06.2025 18:56 β
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The AI for Content Creation workshop is kicking off today at #CVPR2025 - Grand Ballroom A1 - @magrawala.bsky.social Kai Zhang (Adobe), Charles Herrmann (Google), Mark Boss (Stability AI), Yutong Bai (UC Berkeley), Cherry Zhao (Adobe), Ishan Misra (Meta) and @jonbarron.bsky.social ! See you soon!
12.06.2025 13:45 β
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Thanks to the org team: @junyanz.bsky.social @lingjieliu.bsky.social Deqing Sun, Lu Jiang, Fitsum Reda, and Krishna Kumar Singh!
14.03.2025 16:02 β
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AI4CC 2025
The AI for Content Creation workshop #CVPR2025 is accepting paper submissions. ai4cc.net Deadline March 21st 2025 midnight PST. 4 page extended abstracts, 8 pagers, and previously published work (ECCV, NeurIPS, even CVPR)! Many topics π·πΉπ¬π²βοΈππΌοΈπππ’ - come spend the day with us!
14.03.2025 16:02 β
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π’π’π’ Submit to our workshop on Physics-inspired 3D Vision and Imaging at #CVPR2025!
Speakers π£οΈ include Ioannis Gkioulekas, Laura Waller, Berthy Feng, @shwbaek.bsky.social and Gordon Wetzstein!
π pi3dvi.github.io
You can also just come hangout with us at the workshop @cvprconference.bsky.social!
13.03.2025 18:47 β
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2025 ICCV Call For Workshops
ICCV 2025 #ICCV2025 Workshop proposals deadline is tomorrow midnight anywhere on earth! iccv.thecvf.com/Conferences/... If you have any questions, send us an email! The chairs are happy to help. See you in Hawaii? ποΈ
12.03.2025 19:33 β
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Thanks, but I just twiddle my thumbs - it's all Nick and Aaron : )
10.01.2025 20:03 β
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arXiv: arxiv.org/abs/2501.05441
HuggingFace: huggingface.co/papers/2501....
OpenReview: openreview.net/forum?id=Ort...
10.01.2025 19:08 β
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We prioritize simplicity and performance over functionality. As a minimal baseline, our model does only basic image generation, lacking many features required for downstream tasks. Think of it as DCGAN in 2025 rather than something feature-rich like StyleGAN. We hope this helps further GAN research!
10.01.2025 19:08 β
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Given the well-behaved loss, we move away from the 2015-ish architecture in StyleGAN and implement G and D with a minimalist yet modern architecture---a simplified ConvNeXt. With the two components combined, we obtain a simple GAN baseline that is stable to train and surpasses StyleGAN performance.
10.01.2025 19:08 β
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To further GAN research, we first improve the GAN loss to alleviate mode dropping and non-convergence. This makes GAN optimization sufficiently easy that we can now discard existing GAN tricks w/o training failure. The dependence on outdated GAN-specific architectures is also eliminated.
10.01.2025 19:08 β
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GANs are often criticized for their training instability, and it is often believed that GANs cannot work w/o many engineering tricks. They use outdated network architectures without modern backbone advances. These supposed weaknesses resulted in the abandonment of GAN research in favor of diffusion.
10.01.2025 19:08 β
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Can GANs compete in 2025? In 'The GAN is dead; long live the GAN! A Modern GAN Baseline', we show that a minimalist GAN w/o any tricks can match the performance of EDM with half the size and one-step generation - github.com/brownvc/r3gan - work of Nick Huang, @skylion.bsky.social, Volodymyr Kuleshov
10.01.2025 19:08 β
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Need evaluation and insight into why monocular dynamic scene reconstruction is difficult especially with Gaussian splats? Need apples-to-apples comparison of basic motion models on a scene with controlled camera and object motion? Here you go.
06.12.2024 15:40 β
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Hey that's us! Let me know if anyone has any questions : )
06.12.2024 15:37 β
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But what if you _really_ like reflections? Local Gaussian Density Mixtures updates lumigraphs by optimizing mixtures of per-view volumes for πmaximum shineπ #SIGGRAPHAsia2024 xchaowu.github.io/papers/lgdm/... First author Xiuchao Wu is graduating soon and is looking for a job!
05.12.2024 20:55 β
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Created a starter pack for researchers working in inverse graphics, 3D vision, and geometry processing.
Would love your help to expand this list!
go.bsky.app/9uEdjzb
18.11.2024 14:43 β
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Welcome to all new arrivals here on Bluesky! :) Here's a starter pack of people working on computer vision.
go.bsky.app/PkAKJu5
17.11.2024 08:05 β
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Converted my Graphics Research list to a starter pack (not sure what's the difference though). Let me know who we are missing here :)
Here goes! go.bsky.app/ApQNTt2
18.11.2024 16:05 β
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