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Spent some time this week playing with depth estimation models. Monocular depth estimation has come a long way, but in terms of metric accuracy and geometric consistency, stereo depth still has it beat by a wide margin. DepthPro (mono) vs FoundationStereo (stereo)

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FrostyFridge

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27,774 görüntüleme • 1 yıl önce •via X (Twitter)

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Discover the right 3D Geometric Foundation Model for your task—whether it’s stereo matching, multi-view depth estimation, video depth, pose estimation, semantic understanding, or novel view synthesis. Explore more insights in our #E3DBench #FoundationModel #3D #GaussianSplatting. Project Webpage:
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Discover the right 3D Geometric Foundation Model for your task—whether it’s stereo matching, multi-view depth estimation, video depth, pose estimation, semantic understanding, or novel view synthesis. Explore more insights in our #E3DBench #FoundationModel #3D #GaussianSplatting. Project Webpage:

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🤔Applying Depth Estimation models directly to videos can result in inconsistency between frames. 💪Well, not anymore. 🔥ChronoDepth is a new approach to video depth estimation that focuses on achieving both accuracy within each frame and consistency across frames. 📜More👇
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🤔Applying Depth Estimation models directly to videos can result in inconsistency between frames. 💪Well, not anymore. 🔥ChronoDepth is a new approach to video depth estimation that focuses on achieving both accuracy within each frame and consistency across frames. 📜More👇

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AnyDepth: Lightweight zero-shot monocular depth estimation; surpasses DPT; - nicely preserves detail.
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AnyDepth: Lightweight zero-shot monocular depth estimation; surpasses DPT; - nicely preserves detail.

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Gave a robot 3D vision with just a regular camera👁️ Full Tutorial: Deployed #Depth Anything V3​ on NVIDIA Robotics Jetson AGX Orin. It estimates depth from 2D images in real-time—no special sensors needed. Just need #Monocular depth estimation + #TensorRT​ optimization + #ROS2​ integration. 👉 Learn more about reComputer Robotics J5011: #TheAIHardwarePartner
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Gave a robot 3D vision with just a regular camera👁️ Full Tutorial: Deployed #Depth Anything V3​ on NVIDIA Robotics Jetson AGX Orin. It estimates depth from 2D images in real-time—no special sensors needed. Just need #Monocular depth estimation + #TensorRT​ optimization + #ROS2​ integration. 👉 Learn more about reComputer Robotics J5011: #TheAIHardwarePartner

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Depth Any Video with Scalable Synthetic Data AI physicists and chemists continue to make strides in depth estimation from video. Check out this new paper featuring some impressive examples. See the thread for more details (unfortunately no code yet). Abstract: Video depth estimation has long been hindered by the scarcity of consistent and scalable ground truth data, leading to inconsistent and unreliable results. In this paper, we introduce Depth Any Video, a model that tackles the challenge through two key innovations. First, we develop a scalable synthetic data pipeline, capturing real-time video depth data from diverse game environments, yielding 40,000 video clips of 5-second duration, each with precise depth annotations. Second, we leverage the powerful priors of generative video diffusion models to handle real-world videos effectively, integrating advanced techniques such as rotary position encoding and flow matching to further enhance flexibility and efficiency. Unlike previous models, which are limited to fixed-length video sequences, our approach introduces a novel mixed-duration training strategy that handles videos of varying lengths and performs robustly across different frame rates 0 - even on single frames. At inference, we propose a depth interpolation method that enables our model to infer high-resolution video depth across sequences of up to 150 frames. Our model outperforms all previous generative depth models in terms of spatial accuracy and temporal consistency.
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Depth Any Video with Scalable Synthetic Data AI physicists and chemists continue to make strides in depth estimation from video. Check out this new paper featuring some impressive examples. See the thread for more details (unfortunately no code yet). Abstract: Video depth estimation has long been hindered by the scarcity of consistent and scalable ground truth data, leading to inconsistent and unreliable results. In this paper, we introduce Depth Any Video, a model that tackles the challenge through two key innovations. First, we develop a scalable synthetic data pipeline, capturing real-time video depth data from diverse game environments, yielding 40,000 video clips of 5-second duration, each with precise depth annotations. Second, we leverage the powerful priors of generative video diffusion models to handle real-world videos effectively, integrating advanced techniques such as rotary position encoding and flow matching to further enhance flexibility and efficiency. Unlike previous models, which are limited to fixed-length video sequences, our approach introduces a novel mixed-duration training strategy that handles videos of varying lengths and performs robustly across different frame rates 0 - even on single frames. At inference, we propose a depth interpolation method that enables our model to infer high-resolution video depth across sequences of up to 150 frames. Our model outperforms all previous generative depth models in terms of spatial accuracy and temporal consistency.

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Video diffusion models are just overqualified depth estimators! Deterministic single-pass depth estimation based on WanV2.1. - SOTA 5.5 AbsRel on ScanNet - data-efficient than baselines; - no temporal flicker + infinite-length estimation w/ zero scale drift.
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Video diffusion models are just overqualified depth estimators! Deterministic single-pass depth estimation based on WanV2.1. - SOTA 5.5 AbsRel on ScanNet - data-efficient than baselines; - no temporal flicker + infinite-length estimation w/ zero scale drift.

Wildminder

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Introducing 🛹 RollingDepth 🛹 — a universal monocular depth estimator for arbitrarily long videos! Our paper, “Video Depth without Video Models,” delivers exactly that, setting new standards in temporal consistency. Check out more details in the thread 🧵
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Introducing 🛹 RollingDepth 🛹 — a universal monocular depth estimator for arbitrarily long videos! Our paper, “Video Depth without Video Models,” delivers exactly that, setting new standards in temporal consistency. Check out more details in the thread 🧵

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One more turn with this #AR: added underwater transition. All real-time, based on #ML scene depth estimation. Built in Effect House.
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One more turn with this #AR: added underwater transition. All real-time, based on #ML scene depth estimation. Built in Effect House.

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Google just revealed an ABSOLUTE depth estimation model 🤯 As opposed to recent depth models (Marigold, PatchFusion) which aim for maximum details, DMD aims to estimate the ABSOLUTE depth (in meters) within the image More details below ⬇️⬇️
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Google just revealed an ABSOLUTE depth estimation model 🤯 As opposed to recent depth models (Marigold, PatchFusion) which aim for maximum details, DMD aims to estimate the ABSOLUTE depth (in meters) within the image More details below ⬇️⬇️

Alex Carlier

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Left: raw depth from the OAK-D Pro W camera Right: depth from FoundationStereo
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Left: raw depth from the OAK-D Pro W camera Right: depth from FoundationStereo

Yu Xiang

32,598 görüntüleme • 3 ay önce

Monocular pose estimation has gotten really good Grab any 2D video and transfer the performance to a 3D character
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Monocular pose estimation has gotten really good Grab any 2D video and transfer the performance to a 3D character

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I added a node to my custom node that converts the depth image to a normal map! This is useful for 2D-style images where Normals Estimation doesn't work well.
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I added a node to my custom node that converts the depth image to a normal map! This is useful for 2D-style images where Normals Estimation doesn't work well.

toyxyz

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If you are interested in ego-centric data capture, no need to get a headset or smart glasses. Get a $10 head strap mount and put one of these cameras on it. You get RGB, stereo, depth, 3D point clouds, and camera trajectory. Visualization powered by Rerun. Pretty cool!
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If you are interested in ego-centric data capture, no need to get a headset or smart glasses. Get a $10 head strap mount and put one of these cameras on it. You get RGB, stereo, depth, 3D point clouds, and camera trajectory. Visualization powered by Rerun. Pretty cool!

Yu Xiang

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Nano is a depth-aware atmospheric haze plugin that uses ML depth estimation to add physically accurate fog and light scattering to your footage. Works *best* on log footage with visible light sources - it analyzes scene highlights then creates airlight (atmospheric scatter) and halation (light bloom) that responds to actual depth in the scene. Pretty clever approach to getting that cinematic haze look without having to pump a fog machine on set. Makes the OG Trapcode Shine look extremely dated (basically 2D light streaks masked by luminance values), and is yet way more controllable than the current crop of generative AI video-to-video tools.

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StereoWorld Geometry-Aware Monocular-to-Stereo Video Generation
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StereoWorld Geometry-Aware Monocular-to-Stereo Video Generation

AK

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This is how a river depth is measured with a laser beamed from an aircraft: bathymetric LiDAR can measure depths from 0.9 m to 40 m with a vertical accuracy of about 15 cm and horizontal accuracy of 2.5 m
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This is how a river depth is measured with a laser beamed from an aircraft: bathymetric LiDAR can measure depths from 0.9 m to 40 m with a vertical accuracy of about 15 cm and horizontal accuracy of 2.5 m

Massimo

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This is how a river depth is measured using an aircraft and a laser beam. The bathymetric LiDAR can measure depths upto 40m with a accuracy of about 15 cm
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This is how a river depth is measured using an aircraft and a laser beam. The bathymetric LiDAR can measure depths upto 40m with a accuracy of about 15 cm

HOW THINGS WORK

553,964 görüntüleme • 2 yıl önce

BIG NEWS. Blender 4.1 has realtime multipass of the Zdepth - meaning you can now viewport composite with depth in realtime! Exciting time. And.. it happenstance will also be in Bforaritsts 4.0.1.
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BIG NEWS. Blender 4.1 has realtime multipass of the Zdepth - meaning you can now viewport composite with depth in realtime! Exciting time. And.. it happenstance will also be in Bforaritsts 4.0.1.

Trinumedia

16,245 görüntüleme • 2 yıl önce

This improved depth fade uses a dedicated depth texture map to offset values with RemapValueRange, PixelDepth, and SceneDepth, for a more volumetric result #UnrealEngine5 #VFX #realtimeVFX #gamedev
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This improved depth fade uses a dedicated depth texture map to offset values with RemapValueRange, PixelDepth, and SceneDepth, for a more volumetric result #UnrealEngine5 #VFX #realtimeVFX #gamedev

TUATARA

37,774 görüntüleme • 1 yıl önce

Ni-ki’s One in A Billion in Japanese just hits different. His voice has matured so nicely and sounds so full of depth.
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Ni-ki’s One in A Billion in Japanese just hits different. His voice has matured so nicely and sounds so full of depth.

rest

10,027 görüntüleme • 4 ay önce