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DA^2 Depth Anything in Any Direction

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AK

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87,147 görüntüleme • 10 ay önce •via X (Twitter)

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Here’s a sneak peek using Rerun and Gradio for data annotation. It uses Video Depth Anything and Segment Anything 2 under the hood to generate segmentation masks and depth maps/point clouds. More to share next week.
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Here’s a sneak peek using Rerun and Gradio for data annotation. It uses Video Depth Anything and Segment Anything 2 under the hood to generate segmentation masks and depth maps/point clouds. More to share next week.

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❗️Dnipro OSINT has shared previously unpublished footage of 🇺🇦Ukrainian strikes on 🇷🇺Russian logistics at operational depth in the Southern direction.
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❗️Dnipro OSINT has shared previously unpublished footage of 🇺🇦Ukrainian strikes on 🇷🇺Russian logistics at operational depth in the Southern direction.

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Want to use Depth Anything, but need metric depth rather than relative depth? Thrilled to introduce Prompt Depth Anything, a new paradigm for accurate metric depth estimation with up to 4K resolution. 👉Key Message: Depth foundation models like DA have already internalized rich geometric knowledge of the 3D world but lack a proper way to elicit it. Inspired by the success of prompting in LLMs, we propose prompting Depth Anything with metric cues to produce metric depth. This method proves to be very effective when using a low-cost lidar (e.g., iPhone's LiDAR), which is widely available, as prompts. We believe the prompt can generalize to other forms as long as scale information is provided. Prompt Depth Anything offers 1⃣A series of models for iPhone lidars. 2⃣4D reconstruction from monocular videos (captured with iPhone). 3⃣Improved generalization ability for robot manipulation, e.g. Training on cans but generalizing on glasses. 4⃣More detailed depth annotations for the ScanNet++ dataset. The first author is our excellent intern Haotong Lin. Paper: Huggingface: Project Page: Code:
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Want to use Depth Anything, but need metric depth rather than relative depth? Thrilled to introduce Prompt Depth Anything, a new paradigm for accurate metric depth estimation with up to 4K resolution. 👉Key Message: Depth foundation models like DA have already internalized rich geometric knowledge of the 3D world but lack a proper way to elicit it. Inspired by the success of prompting in LLMs, we propose prompting Depth Anything with metric cues to produce metric depth. This method proves to be very effective when using a low-cost lidar (e.g., iPhone's LiDAR), which is widely available, as prompts. We believe the prompt can generalize to other forms as long as scale information is provided. Prompt Depth Anything offers 1⃣A series of models for iPhone lidars. 2⃣4D reconstruction from monocular videos (captured with iPhone). 3⃣Improved generalization ability for robot manipulation, e.g. Training on cans but generalizing on glasses. 4⃣More detailed depth annotations for the ScanNet++ dataset. The first author is our excellent intern Haotong Lin. Paper: Huggingface: Project Page: Code:

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TikTok presents Depth Anything Unleashing the Power of Large-Scale Unlabeled Data paper page: demo: Depth Anything is trained on 1.5M labeled images and 62M+ unlabeled images jointly, providing the most capable Monocular Depth Estimation (MDE) foundation models with the following features: zero-shot relative depth estimation, better than MiDaS v3.1 (BEiTL-512) zero-shot metric depth estimation, better than ZoeDepth optimal in-domain fine-tuning and evaluation on NYUv2 and KITTI
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TikTok presents Depth Anything Unleashing the Power of Large-Scale Unlabeled Data paper page: demo: Depth Anything is trained on 1.5M labeled images and 62M+ unlabeled images jointly, providing the most capable Monocular Depth Estimation (MDE) foundation models with the following features: zero-shot relative depth estimation, better than MiDaS v3.1 (BEiTL-512) zero-shot metric depth estimation, better than ZoeDepth optimal in-domain fine-tuning and evaluation on NYUv2 and KITTI

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Depth Anything V2 This work presents Depth Anything V2. Without pursuing fancy techniques, we aim to reveal crucial findings to pave the way towards building a powerful monocular depth estimation model. Notably, compared with V1, this version produces much finer and more
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Depth Anything V2 This work presents Depth Anything V2. Without pursuing fancy techniques, we aim to reveal crucial findings to pave the way towards building a powerful monocular depth estimation model. Notably, compared with V1, this version produces much finer and more

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"𝗙𝗼𝗰𝘂𝘀 is the depth and direction of our time and energy." - 🔴 Sean Lewis ⚫️ #GoBuffs 🦬
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"𝗙𝗼𝗰𝘂𝘀 is the depth and direction of our time and energy." - 🔴 Sean Lewis ⚫️ #GoBuffs 🦬

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Preview of Omnimovent — allowing players to spring & dive in any direction + enhanced ground movement
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‘Anything in particular, though? Any policies?’ walks away (with MeidasTouch)
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Depth is starting to feel less like an image… and more like geometry. InfiniDepth (open source) pushes exactly in that direction🤩 Depth is no longer just a map. It’s becoming a geometry representation. Single image → depth → 3DGS🥳 It’s not replacing real-world capture, but it’s definitely changing how image-to-3D works.
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Depth is starting to feel less like an image… and more like geometry. InfiniDepth (open source) pushes exactly in that direction🤩 Depth is no longer just a map. It’s becoming a geometry representation. Single image → depth → 3DGS🥳 It’s not replacing real-world capture, but it’s definitely changing how image-to-3D works.

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Track4World. Feedforward world-centric dense 3D tracking; - tracks every pixel in 3D. - 16-frame sequences in 3.4s with 14GB VRAM; - Depth Anything v3 as backbone.
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Track4World. Feedforward world-centric dense 3D tracking; - tracks every pixel in 3D. - 16-frame sequences in 3.4s with 14GB VRAM; - Depth Anything v3 as backbone.

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#2 didn’t transfer after being buried on the depth chart in 2021 #IKnowWhoMyGoatIs
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#2 didn’t transfer after being buried on the depth chart in 2021 #IKnowWhoMyGoatIs

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Took my mobile gallery on the road, I’d let u haul my heart in any direction…🎨
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Took my mobile gallery on the road, I’d let u haul my heart in any direction…🎨

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Since the quoted post is blowing up, here is a more in-depth breakdown of why I personally believe post contact direction & channeling all of your energy “through” w/ medball movement prep is vital to creating efficient movement patterns & direction in the swing. Listen below👇
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Since the quoted post is blowing up, here is a more in-depth breakdown of why I personally believe post contact direction & channeling all of your energy “through” w/ medball movement prep is vital to creating efficient movement patterns & direction in the swing. Listen below👇

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This engineer designed an omnidirectional ball motorcycle that balances laterally like a Segway and moves in any direction.
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This engineer designed an omnidirectional ball motorcycle that balances laterally like a Segway and moves in any direction.

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Took it further with Omma AI, (Spline ) now it works on video, and everything working in a Web Browser. Drop a video, Depth Anything v2 calculates the depth map frame by frame, and Three.js renders a fully lit 3D mesh in real time. Depth estimation on video in the browser +Automatic baking pass + Dynamic lighting reacting to the geometry #vibecoding #threejs #webgl
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Took it further with Omma AI, (Spline ) now it works on video, and everything working in a Web Browser. Drop a video, Depth Anything v2 calculates the depth map frame by frame, and Three.js renders a fully lit 3D mesh in real time. Depth estimation on video in the browser +Automatic baking pass + Dynamic lighting reacting to the geometry #vibecoding #threejs #webgl

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Have you ever seen anything like this happening in any other religion?
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Have you ever seen anything like this happening in any other religion?

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