🥛🥛HAMSTER: Hierarchical VLA Manipulation🥛🥛
👉#Nvidia unveils HAMSTER: novel Hierarchical VLA architecture to enable robotic manipulation with semantic, visual & geometric generalization trained on easy to collect, off-domain data. Source Code announced💙



𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:

✅Hier. Action Models w/ SeparaTEd Path Represent.

✅Fine-tuned VLMs -> to low-level 3D policy models

✅A fully open-sourced enabler for VLM-action models

✅Abundant OOD data for improving real-world control



#artificialintelligence #machinelearning #ml #AI #deeplearning #computervision #AIwithPapers #metaverse #LLM



👉Discussion https://lnkd.in/dMgakzWm

👉Paper https://arxiv.org/pdf/2502.05485

👉Project https://hamster-robot.github.io/

👉Repo TBA

🔥🔥Distill-Any-Depth: new SOTA MDE🔥🔥

👉Distill-Any-Depth is the new SOTA monocular depth estimation model trained with a novel knowledge distillation. Source Code, pre-trained models & f-demo released💙

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Authors: ZJUT, WestLake University, LZU & NTU
✅Multiple D-normalization on pseudo-label distillation
✅Proposing novel Cross-Context Distillation approach
✅Introducing new multi-teacher distillation framework
✅Pre-trained Models and code released under MIT

hashtag#artificialintelligence hashtag#machinelearning hashtag#ml hashtag#AI hashtag#deeplearning hashtag#computervision hashtag#AIwithPapers hashtag#metaverse hashtag#LLM

👉Discussion https://lnkd.in/dMgakzWm
👉Paper arxiv.org/pdf/2502.19204
👉Repo https://lnkd.in/dPtxNrQh
🤗Demo https://lnkd.in/d2TMPf4b

🩷Dance vs. #ComputerVision🩷

👉The Saint-Etienne university proposed a new #3D human body pose estimation pipeline to deal with dance analysis. Project page w/ results and interactive demo released💙

👉Review https://t.ly/JEdM3
👉Paper arxiv.org/pdf/2505.07249
👉Project https://lnkd.in/dD5dsMv5

💥 BOOM, Google just dropped the Gemini CLI 🔥🔥🔥

And honestly… It’s kind of magical. I pointed it to a folder full of images, pedestrians, retail shelves, conveyor belts, and it gave me a clean, 1-line summary for each one.

Then I dropped in a YouTube URL, and it summarized that too. Straight from the terminal. No additional dependencies or configuration. If you're working in hashtag#computervision, building datasets, or just juggling lots of media files, this can be a serious time-saver, especially with its reasoning capabilities.

Best thing, it's completely free, with 60 model requests per minute and 1,000 model requests per day with your Google account :) If you want to learn more, I will be sharing alot of additional stuff this and the upcoming week on its cool features.

💥 BOOM, Google just dropped the Gemini CLI 🔥🔥🔥

And honestly… It’s kind of magical. I pointed it to a folder full of images, pedestrians, retail shelves, conveyor belts, and it gave me a clean, 1-line summary for each one.

Then I dropped in a YouTube URL, and it summarized that too. Straight from the terminal. No additional dependencies or configuration. If you're working in hashtag#computervision, building datasets, or just juggling lots of media files, this can be a serious time-saver, especially with its reasoning capabilities.

Best thing, it's completely free, with 60 model requests per minute and 1,000 model requests per day with your Google account. 😊
🔗 Gemini CLI: https://github.com/google-gemini/gemini-cli

🐉 #DoubleDragon with #AI 🐉

👉How Double Dragon would look like in real life? Each character has been transformed with #AI to capture their style, fighting spirit, and charisma, as if they had stepped right out of the game’s streets into the real world. AUDIO ON. Damn romantic💙

#artificialintelligence #machinelearning #ml #AI #deeplearning #computervision #AIwithPapers #metaverse #LLM

👉Post https://t.ly/0IpER
👉Channel http://www.youtube.com/@iaiaoh84

🍿🍿Dawn of Generative Cinematography🍿🍿



🟩#TheOdyssey by Christopher Nolan was shot entirely on IMAX 70mm. It feels almost romantic: massive cameras, film stock, premium lenses, and an obsessive pursuit of the highest possible quality at the moment of capture.



👉Meanwhile, #AI research is heading in the exact opposite direction.



🟩A pre-print paper released today, "Camera Anything", demonstrates something that sounded like science fiction just a few years ago: you film a scene once... and then you can virtually reposition the camera anywhere.



🟩Want a close-up? A drone shot? A ground-level perspective? A side angle? A cinematic tracking shot? You no longer decide where to place the camera during filming. You decide afterwards.



👉And this fundamentally changes what cinematography means.



🟩For more than a century, filmmakers have had to make irreversible decisions on set. Camera placement, focal length, movement, framing, etc. These choices became part of the recorded footage forever.



🟩A scene becomes a 3D representation that can be "re-shot" endlessly from viewpoints that never physically existed. We simply capture "raw" data from which the final result is reconstructed or customized.



🟩Five years from now, will we still talk about shooting a movie? Or will we simply capture a scene and decide later where the camera should have been?

The irony is fascinating. While Nolan reminds us how extraordinary a 70mm camera can be, AI is quietly suggesting that, soon, the camera itself will be optional.



👉The first step towards the generative cinematography.



#deeplearning #computervision #AIwithPapers



👉Discussion https://lnkd.in/dMgakzWm

👉Paper arxiv.org/pdf/2607.24591

👉Project yixuanli98.github.io/cameraanything/

👉Repo github.com/yixuanli98/CameraAnything

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🍿Dawn of Generative Cinematography🍿

🟩 The Odissey by Christopher Nolan was shot entirely on IMAX 70mm. It feels almost romantic: massive cameras, film stock, premium lenses, and an obsessive pursuit of the highest possible quality at the moment of capture.

👉 Meanwhile, #AI research is heading in the exact opposite direction.

🟩 A pre-print paper released today, "Camera Anything", demonstrates something that sounded like science fiction just a few years ago: you film a scene once... and then you can virtually reposition the camera anywhere.

🟩 Want a close-up? A drone shot? A ground-level perspective? A side angle? A cinematic tracking shot? You no longer decide where to place the camera during filming. You decide afterwards.

👉 And this fundamentally changes what cinematography means.

🟩 For more than a century, filmmakers have had to make irreversible decisions on set. Camera placement, focal length, movement, framing, etc. These choices became part of the recorded footage forever.



🟩 A scene becomes a 3D representation that can be "re-shot" endlessly from viewpoints that never physically existed. We simply capture "raw" data from which the final result is reconstructed or customized.



🟩Five years from now, will we still talk about shooting a movie? Or will we simply capture a scene and decide later where the camera should have been?

The irony is fascinating. While Nolan reminds us how extraordinary a 70mm camera can be, AI is quietly suggesting that, soon, the camera itself will be optional.



👉The first step towards the generative cinematography.



#deeplearning #computervision #AIwithPapers



👉Discussion https://lnkd.in/dMgakzWm

👉Paper arxiv.org/pdf/2607.24591

👉Project yixuanli98.github.io/cameraanything/

👉Repo github.com/yixuanli98/CameraAnything

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GPT-6 Astra cracks 1941 Enigma message

OpenAI’s GPT-6 Astra has decoded the MVUEH message, an 85-year-old German Enigma cipher, in just 48 hours. The model now identifies assembly errors in IKEA furniture with 80% accuracy, a significant jump from the 28% peak recorded in November 2025.

Carter Leffen successfully executed the Enigma analysis on September 14–15, 2026. While the model demonstrates clear progress in high-level reasoning and computer vision, Epoch AI indicates that the current inference speed is not yet sufficient for real-time assembly guidance. The model is available to ChatGPT Plus, Pro, Business, and Enterprise users and via API. 🤖

#AI #GPT6 #MachineLearning #ComputerVision

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