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Meta’s SAM 3D is killing Auto CAD simply click on any segment of your engineering drawing, it generates a 3D model with correct dimensions it’s completely free, link in comments
oh my.. hows this even possible Meta just dropped SAM 3D, you can auto select any object in still image and.. turn them into high quality 3D model the model is free to download and test in playground link in comments
the fact that this whole 3d model was generated in one shot from an image is completly nuts to me
PhysX-Anything: creates simulation-ready, articulated 3D assets from a single image; VLM-based model using a new 3D representation that reduces token count by 193x physx-anything.github.io
リリースされたMarble使ってみた。 解体された中銀カプセルタワービルの部屋が3Dで蘇った！ 試しに3つの部屋を復元。 あの部屋にまた入れる。 窓からの景色も再現されて。 たった1枚の360度画像から数分で3DGS生成。 これはつよい。
Depth Anything 3 proves most 3D vision research has been overengineering the problem. Vanilla DINOv2 transformer + depth-ray pairs crushes SOTA by 44% on pose, 25% on geometry. One approach for SOTA monocular depth, multi-view geometry, pose estimation, and novel view synthesis…
After a year of team work, we're thrilled to introduce Depth Anything 3 (DA3)! 🚀 Aiming for human-like spatial perception, DA3 extends monocular depth estimation to any-view scenarios, including single images, multi-view images, and video. In pursuit of minimal modeling, DA3…
they basically turned a normal video diffusion model into something that reacts instantly when you drag stuff on screen you can literally “paint” motion.. and see it move right away like directing a movie live..
100 Million splats , a whole town, rendered in real time without any preprocessing in M2 MacBook Air. Scan by : @AndriiShramko. Rendered by: AirVis engine.
I genuinely think we’re on the cusp of a new type of creation engine. Feels less like prompting and more like puppeteering reality itself. MotionStream is a taste of what’s to come:
🚨 China just built Wikipedia's replacement and it exposes the fatal flaw in how we store ALL human knowledge. Most scientific knowledge compresses reasoning into conclusions. You get the "what" but not the "why." This radical compression creates what researchers call the "dark…
this is wild this AR app that lets you talk to a book and turn it into a quiz..
Vibe-coded three Gaussian splat reveal effects using @playcanvas . Turns out this kind of visual play is way too fun. ✨
!! I really cannot believe this works. Large splat scene in VR on a Quest 3 using sparkjs. LoD budget is 500k splats. Runs about 30 fps. Full scene is ~6million splats. It's janky (sorry about the controls) But still, just insane this works at all ... (Metaverse is coming!)
Visions #111 by @orkhan_art This is so much better than anything I've seen at @ArtBasel Paris, where they don't have a clue about digital art.
There is a reason why most large companies are doomed. They value complexity more than anything else. People fabricate complexity to get recognized.
Today, we are open-sourcing Hunyuan World 1.1 (WorldMirror), a universal feed-forward 3D reconstruction model. 🚀🚀🚀 While our previously released Hunyuan World 1.0 (open-sourced, lite version deployable on consumer GPUs) focused on generating 3D worlds from text or…
So these researchers figured out you can basically hallucinate 3D cities into existence using just satellite photos & a diffusion model. The problem's pretty straightforward: satellites only see rooftops. Building facades? Invisible. Street-level detail? Doesn't exist. But…
FlashWorld: High-quality 3D Scene Generation within Seconds Contributions: • We introduce a dual-mode pretraining strategy built on a video diffusion model to train a multi-view diffusion model. This model is capable of operating in both MV-oriented and 3D-oriented modes. •…
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