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An image + a detailed normal map generated by GeoWizard --> a relightable image. Geowizard is a generative geometry estimation model that could jointly produce high-quality depth and normal with intricate details. Try our huggingface demo here: #huggingface #gradio #geowizard

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Xiao-Xiao Long

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30,338 görüntüleme • 2 yıl önce •via X (Twitter)

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Hi3DGen 🔥 High-fidelity 3D geometry generation from a single image by leveraging normal maps as an intermediate representation
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Hi3DGen 🔥 High-fidelity 3D geometry generation from a single image by leveraging normal maps as an intermediate representation

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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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I created a simple GUI to use Depth to Normal without ComfyUI! Once you input an image, it will be exported as a .glTF with a normal map. Import it directly into your favorite tool like Blender or CSP. #AI :
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I created a simple GUI to use Depth to Normal without ComfyUI! Once you input an image, it will be exported as a .glTF with a normal map. Import it directly into your favorite tool like Blender or CSP. #AI :

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Fun & likely unintended use case for #NanoBananaPro: image→3D point cloud Prompt: This is a rendering of a 3D model of a person. Make an accurate image of the corresponding normal map. Then I run Poisson-based normals→3D Pretty amazing for a general-purpose 2D image model 🤩

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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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Leffa from Meta is a 🆕 unified framework for controllable person image generation that enables precise manipulation of both appearance (i.e., Virtual try-on) and pose (i.e., Pose transfer). Learn more about 📚 Code,🔥 Demo, and 🤗 Model ⬇️
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Leffa from Meta is a 🆕 unified framework for controllable person image generation that enables precise manipulation of both appearance (i.e., Virtual try-on) and pose (i.e., Pose transfer). Learn more about 📚 Code,🔥 Demo, and 🤗 Model ⬇️

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Industrial CT scans capture both geometry and relative density. We start by taking hundreds of X-ray images from different angles, then reconstruct them into a 3D model that can be sectioned and analyzed. A dark area in a 2D X-ray image could be either thicker material or denser material; by rotating the object we’re scanning, we can separate geometry from density. In this Lumafield CT scan, density is visualized as a blue-red color map.

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gm So if you ask Nano Banana to make an image into a Depth Map, you get a grayscale image where white=close & black=far Then ask Google AI Studio for an app that turns depth maps into point clouds & lets you control them with hand gestures from webcam blam you’re Tony Stark
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gm So if you ask Nano Banana to make an image into a Depth Map, you get a grayscale image where white=close & black=far Then ask Google AI Studio for an app that turns depth maps into point clouds & lets you control them with hand gestures from webcam blam you’re Tony Stark

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