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Posts tagged #DepthEstimation

Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation
Bin Ma, Bohan Li et al.
Paper
Details
#VideoDiffusion #DepthEstimation #ComputerVision

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Jasmine leverages diffusion priors for self‑supervised depth estimation

Jasmine leverages diffusion priors for self‑supervised depth estimation

Jasmine's new method uses diffusion priors for self‑supervised depth estimation, inferring depth from single images without labeled data. Read more: getnews.me/jasmine-leverages-diffus... #jasmine #diffusion #depthestimation

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Training-Free 360° Depth Estimation Using Foundation Models and Graph Optimization

Training-Free 360° Depth Estimation Using Foundation Models and Graph Optimization

RPG360 converts 360° panoramas to cubemap faces and aligns depth scales via graph optimization, attaining results on Matterport3D and Stanford2D3D. getnews.me/training-free-360deg-dep... #rpg360 #depthestimation

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MCPDepth Boosts Omnidirectional Depth with Multi‑Cylindrical Stereo

MCPDepth Boosts Omnidirectional Depth with Multi‑Cylindrical Stereo

MCPDepth, a two‑stage framework for omnidirectional depth, reduces mean absolute error by 18.8% on the Deep360 benchmark and 19.9% on the 3D60 dataset. getnews.me/mcpdepth-boosts-omnidire... #mcpdepth #depthestimation

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New Approach Enables CLIP to Estimate Monocular Depth Efficiently

New Approach Enables CLIP to Estimate Monocular Depth Efficiently

A learnable 'mirror' embedding added to frozen CLIP lets it produce monocular depth maps without fine‑tuning; it matches state‑of‑the‑art results on NYU Depth v2 and KITTI. Read more: getnews.me/new-approach-enables-cli... #clip #depthestimation

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Bi-Task Adversarial Attack Threatens Object Detection and Depth Estimation

Bi-Task Adversarial Attack Threatens Object Detection and Depth Estimation

A Bi‑Task Adversarial Attack can lower detection confidence and shift monocular depth; printed‑patch tests show it works in the real world. Read more: getnews.me/bi-task-adversarial-atta... #adversarialml #objectdetection #depthestimation

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[Resolume Plugins] DeepDepth – Burn the Stage (FFGL for Mac)
[Resolume Plugins] DeepDepth – Burn the Stage (FFGL for Mac) YouTube video by Norimichi Tomita

youtu.be/PSNTsGj-Ai8
From just a single stage set photo, depth estimation creates a transition with depth — burning away or emerging in flames through projection.
#resolume #resolumearena #resolumeplugins #depthestimation #monoculardepth #filmburn #transition #stageset #projectionmapping #ffgl

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FOVAL Enables Calibration-Free Eye-Tracking Depth Estimation

FOVAL Enables Calibration-Free Eye-Tracking Depth Estimation

FOVAL is a new calibration‑free eye‑tracking model that estimates fixation depth with a mean absolute error of 9.1 cm, outperforming other architectures. Read more: getnews.me/foval-enables-calibratio... #foval #eyetracking #depthestimation

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[Resolume Plugins] DeepDepth – Contour (FFGL for Mac)
[Resolume Plugins] DeepDepth – Contour (FFGL for Mac) YouTube video by Norimichi Tomita

youtu.be/b_k4CsPiBus
Let’s draw contour lines with real-time depth estimation.
#resolume #resolumearena #resolumeplugins #depthestimation #monoculardepth #contour #ffgl

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Explainable AI tools assess monocular depth estimation models

Explainable AI tools assess monocular depth estimation models

Researchers introduced Attribution Fidelity to evaluate XAI methods for monocular depth estimation, testing it on METER and PixelFormer models; the work will be presented at IJCNN 2025. getnews.me/explainable-ai-tools-ass... #xai #depthestimation

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[Resolume Plugins] DeepDepth – Film Burn Transition (FFGL for Mac)
[Resolume Plugins] DeepDepth – Film Burn Transition (FFGL for Mac) YouTube video by Norimichi Tomita

youtu.be/AmuK51B9zzo
Once a depth map can be captured, the natural next step is to integrate a Film Burn transition with depth.
#resolume #resolumearena #resolumeplugins #depthestimation #monoculardepth #filmburn #transition #ffgl

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[Resolume Plugins] DeepDepth (FFGL for Mac)
[Resolume Plugins] DeepDepth (FFGL for Mac) YouTube video by Norimichi Tomita

youtu.be/2n8yX1uaX3M
A real-time monocular depth estimation plugin. Right now it’s already capturing depth and showing a grayscale map.
Effect? Transition? Still deciding where to take it.
#resolume #resolumearena #resolumeplugins #depthestimation #monoculardepth #ffgl

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New AI model turns photos into explorable 3D worlds, with caveats https://arstechni.ca #3Dreconstruction #depthestimation #machinelearning #scenegeneration #computervision #videosynthesis #3Dgeneration #generativeai #multimodalAI #worldmodels #AIresearch #opensource #Aivideo #Tencent #Biz&IT…

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TRIDE: A Text-assisted Radar-Image weather-aware fusion network for
Depth Estimation
Hao Feng, Huawei Sun et al.
Paper
Details
#TRIDE #DepthEstimation #RadarImageFusion

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Join me at IEEE ICRA 2025 from 19-23 May 2025 in Atlanta, Georgia! Learn more

🚀 Our depth completion method SteeredMarigold will be presented at #ICRA2025 🚀. Meet @lanalpa.bsky.social and me in Atlanta between 19-23 May! invt.io/1exb0qqtfdj #robotics #depthcompletion #depthestimation

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Steered Marigold Steering diffusion-based monocular estimator towards depth completion in a plug-and-play manner.

🌟 Exciting News! 🌟 We're thrilled to announce the launch of our website for SteeredMarigold 🚀 steeredmarigold.github.io. Our cutting-edge method helps to overcome limitations of depth sensors by completing missing areas in the depth maps 🤖. The code is coming! #DepthCompletion #DepthEstimation

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🧵 Join our Discord (link in soccer-net.org) to collaborate and support each other along the way. Let’s make this an unforgettable journey!

🌟See you at #CVPR2025 in Nashville for the results and awards! @_CVsports Workshop

#SoccerNet2025 #AI4Sports #DepthEstimation

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Video

Experimenting with my medium format photography in the 3rd dimension using #DepthEstimation

#DigitalArt #Blender #Photography #AIArt #ArtAndTechnology #MachineLearning #DepthMapping #3DArt #VisualEffects #GenerativeArt #AIPhotography #NewMediaArt #TechInArt #CreativeAI #DigitalCreatives

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Lotus Model Advances Dense Prediction with State-of-the-Art Efficiency and Precision Researchers introduce Lotus, a novel diffusion-based model that revolutionizes dense prediction tasks by boosting accuracy and efficiency through single-step diffusion and advanced parameterization st...

🔍⚙️💡 Lotus Model Advances Dense Prediction with State-of-the-Art Efficiency and Precision www.azoai.com/news/2024100... #AI #DensePrediction #MachineLearning #DiffusionModels #DepthEstimation #SurfaceNormals #ComputerVision #Innovation #3DReconstruction #Tech @arxiv-stat-ml.bsky.social

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Researchers Supercharge Depth Estimation Models, Achieving 200x Faster Results with New Fix Researchers optimized large diffusion models for monocular depth estimation, fixing a critical flaw to achieve 200x faster performance with state-of-the-art accuracy. Fine-tuning further improved resu...

🔥🚀📊 Researchers Supercharge Depth Estimation Models, Achieving 200x Faster Results with New Fix www.azoai.com/news/2024092... #DepthEstimation #DiffusionModels #AIResearch #MachineLearning #StableDiffusion #MonocularDepth #ComputationalEfficiency #NeuralNetworks #AI @arxiv-stat-ml.bsky.social

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