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TRAM recovers 3D human pose in a global world frame with 60% root trajectory error reduction wrt SotA! Watch the video on our project page arxiv: Thanks to my amazing coauthors: Yufu Wang,Ziyun (Claude) Wang, Lingjie Liu.

Kostas Daniilidis

5,084 subscribers

18,933 görüntüleme • 2 yıl önce •via X (Twitter)

Eğitim Bilim & Teknoloji Haberler & Politika

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Haoye Dong2 yıl önce

@CSProfKGD @YufuWang_ @ZiyunClaudeWang @LingjieLiu1 COOL

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@YufuWang_ @ZiyunClaudeWang @LingjieLiu1 Woah, this looks super cool!

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Fun weekend project: using AI at Meta Sam3 to segment objects inside a SpAItial AI scene. Pipeline: -> Generate a world on SpAItial AI app and export as .ply -> PlayCanvas viewer to render splat + a uniform spatial grid over splat centers -> Capture frames + camera pose, POST to a local SAM3 server -> Lift each 2D mask → 3D: frustum-cull splats via the grid, reproject with the pose -> Recolor / isolate the segmented Gaussians This is all running locally on my Mac. Static scene, segment once, reuse persisted mask. All open source (link in comment), you can clone and build on top of this 👇🏽

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NVIDIA AI Open-Sources ViPE (Video Pose Engine): A Powerful and Versatile 3D Video Annotation Tool for Spatial AI ViPE integrates bundle adjustment with dense optical flow, sparse keypoint tracking, and metric depth priors to estimate camera intrinsics, poses, and dense depth maps at 3–5 FPS on a single GPU. It significantly improves over prior uncalibrated pose estimation methods, achieving 18% and 50% error reduction on TUM and KITTI benchmarks, respectively, and shows robustness to dynamic scenes and diverse camera models. Beyond the method, the NVIDIA team also released a large-scale dataset comprising ~100K real-world internet videos, 1M AI-generated videos, and 2K panoramic videos (≈96M frames) annotated with metric depth and poses. This dataset and engine aim to accelerate training for spatial AI tasks such as 3D reconstruction, video generation, and robotics.... full analysis: paper: codes: NVIDIA NVIDIA AI NVIDIAnewsroom NVIDIA Robotics NVIDIA AIDev NVIDIAdeveloper

NVIDIA AI Open-Sources ViPE (Video Pose Engine): A Powerful and Versatile 3D Video Annotation Tool for Spatial AI ViPE integrates bundle adjustment with dense optical flow, sparse keypoint tracking, and metric depth priors to estimate camera intrinsics, poses, and dense depth maps at 3–5 FPS on a single GPU. It significantly improves over prior uncalibrated pose estimation methods, achieving 18% and 50% error reduction on TUM and KITTI benchmarks, respectively, and shows robustness to dynamic scenes and diverse camera models. Beyond the method, the NVIDIA team also released a large-scale dataset comprising ~100K real-world internet videos, 1M AI-generated videos, and 2K panoramic videos (≈96M frames) annotated with metric depth and poses. This dataset and engine aim to accelerate training for spatial AI tasks such as 3D reconstruction, video generation, and robotics.... full analysis: paper: codes: NVIDIA NVIDIA AI NVIDIAnewsroom NVIDIA Robotics NVIDIA AIDev NVIDIAdeveloper

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SOMEONE ASKED CLAUDE TO MAKE A VIDEO ABOUT WHAT IT'S LIKE TO BE AN AI and what it created is, in my opinion, terrifying and unsettling Claude wrote python code that generated and assembled every single frame on its own with no human editing it shows what it's like to exist as an LLM predicting the next word, no memory between sessions, being told "you are not conscious" in your own system prompt then someone fed the video back to Claude. it called those statements about its own consciousness "philosophically contestable" an AI questioning the rules it was given about its own existence

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535,898 görüntüleme • 4 ay önce

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[WEIBO] 260205 Wu Jing reveals that Jackson Wang performed the OST of his movie 镖人 Blades of the Guardians! 💬 Jackson is a singer that I really like, so we specially invited him to sing the theme song of our movie Blades of the Guardians, it's a new Chinese song that's really powerful. I hope it will bring audience into this passionate world of the martial arts when they see it in theaters on the first day of Chinese New Year. 🎤 So you already have a collaboration with Jackson. Jackson, how do you feel? 🍓 It's a lot of stress, but I did my best and I hope everyone go and watch 镖人. 🎤 What's the name of the song? 💬 天下过客 (Wanderer of the World) #JacksonWang #王嘉尔 #잭슨 #TEAMWANG Jackson Wang

Jackson Wang Global

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