Call me old school, but I still use ChatGPT.
@learnopencv
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Training 3D Gaussian Splatting Models to Remove Floaters
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If you’ve been using 3D Gaussian Splatting (3DGS) to create 3D representations of an environment, you might be familiar with the challenge of "floaters," which can be very difficult to remove.https://t.co/gErqAKXB5Q
— Satya Mallick (@LearnOpenCV) 28 janvier 2025
In this article, we demonstrate how to train your 3DGS model… pic.twitter.com/1b80bf386vIf you’ve been using 3D Gaussian Splatting (3DGS) to create 3D representations of an environment, you might be familiar with the challenge of "floaters," which can be very difficult to remove. https://
learnopencv.com/object-inserti
on-in-gaussian-splatting/
… In this article, we demonstrate how to train your 3DGS model -
Apple’s DepthPro Revolutionizes Monocular Depth Estimation
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Apple's DepthPro ⚡️is quite impressive, producing pixel-perfect, high-resolution metric depth maps with sharp boundaries through monocular depth estimation.
— Satya Mallick (@LearnOpenCV) 21 janvier 2025
It outperforms all of its contenders like Metric3D v2 and DepthAnything in "in-the-wild" dynamic scenes.
In this article,… pic.twitter.com/FjE0nHyJrhApple's DepthPro is quite impressive, producing pixel-perfect, high-resolution metric depth maps with sharp boundaries through monocular depth estimation.
It outperforms all of its contenders like Metric3D v2 and DepthAnything in "in-the-wild" dynamic scenes. In this article, -
Image Generation Models: From Creative Use to Industrial Applications
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Image-generation models have come a long way, now producing images so realistic that they are often hard to distinguish from real ones.
— Satya Mallick (@LearnOpenCV) 15 janvier 2025
While many enthusiasts have explored models like Stable Diffusion for creative and entertaining purposes, the practical industrial applications… pic.twitter.com/82bicejNx4Image-generation models have come a long way, now producing images so realistic that they are often hard to distinguish from real ones. While many enthusiasts have explored models like Stable Diffusion for creative and entertaining purposes, the practical industrial applications
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SimSiam: Self-Supervised Learning for Foundation Models
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Self-supervision continues to revolutionize pre-training strategies in foundation models, offering efficient ways to learn representations without labeled data. This week, our blog-post explores SimSiam, which stands out as a simple yet powerful approach to Representation… pic.twitter.com/iZEv3RPAhH
— Satya Mallick (@LearnOpenCV) 7 janvier 2025Self-supervision continues to revolutionize pre-training strategies in foundation models, offering efficient ways to learn representations without labeled data. This week, our blog-post explores SimSiam, which stands out as a simple yet powerful approach to Representation
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Image Captioning: Automatic Photo Descriptions Without Manual Tagging
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Imagine you’re scrolling through your cloud photo gallery, and you stumble upon a picture of a dog jumping over a fence. Next to the image, a caption appears: "A dog jumps over a fence." No manual input, no tagging—just seamless description.
— Satya Mallick (@LearnOpenCV) 31 décembre 2024
That’s the magic of Image Captioning… pic.twitter.com/yYxcfPcJDKImagine you’re scrolling through your cloud photo gallery, and you stumble upon a picture of a dog jumping over a fence. Next to the image, a caption appears: "A dog jumps over a fence." No manual input, no tagging—just seamless description. That’s the magic of Image Captioning
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Molmo VLM: Open-Source Model Excelling in Object Detection and VQA
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Molmo VLM is an interesting open-source family of models from AllenAI that excels in pointing objects, VQA, and analog clock face reading—tasks where even models like GPT-4o struggle. Its success lies in the
— Satya Mallick (@LearnOpenCV) 24 décembre 2024
PixMo dataset, a meticulously curated collection built from the ground… pic.twitter.com/N1fakvTy1aMolmo VLM is an interesting open-source family of models from AllenAI that excels in pointing objects, VQA, and analog clock face reading—tasks where even models like GPT-4o struggle. Its success lies in the PixMo dataset, a meticulously curated collection built from the ground
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3D Gaussian Splatting Revolutionizing 3D Reconstruction Across Industries
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3D Gaussian Splatting (3DGS) is becoming the new standard for 3D reconstruction, rapidly transforming fields like Robotics, Autonomous Vehicles, AR/VR, Gaming, and VFX.
— Satya Mallick (@LearnOpenCV) 18 décembre 2024
With its ability to deliver photorealistic, real-time rendering while capturing large-scale scenes with… pic.twitter.com/h92EUH4xcr3D Gaussian Splatting (3DGS) is becoming the new standard for 3D reconstruction, rapidly transforming fields like Robotics, Autonomous Vehicles, AR/VR, Gaming, and VFX. With its ability to deliver photorealistic, real-time rendering while capturing large-scale scenes with
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Flux Open-Source Model: Generation Quality, Parameters & Prompt Optimization
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Flux is an open-source model that excels in creating realistic human portraits, product photography, UI design templates, and more.
— Satya Mallick (@LearnOpenCV) 10 décembre 2024
In this article, we'll explore the model’s generation quality, limitations, and the impact of various prompt styles by tuning its key parameters.… pic.twitter.com/7SRNPAAlarFlux is an open-source model that excels in creating realistic human portraits, product photography, UI design templates, and more. In this article, we'll explore the model’s generation quality, limitations, and the impact of various prompt styles by tuning its key parameters.
