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there is a new gaussian splat method that can create high-quality 3D scenes from long videos without needing camera positions:

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Dreaming Tulpa 🥓👑

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41,437 просмотров • 9 месяцев назад •via X (Twitter)

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Here’s how to create this cool 3D scene from a single image! 📸 Midjourney (isometric image generation) Trellis (Image to 3D Gaussian Splat) Browser Lab (3D Editor Splat Import)
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Here’s how to create this cool 3D scene from a single image! 📸 Midjourney (isometric image generation) Trellis (Image to 3D Gaussian Splat) Browser Lab (3D Editor Splat Import)

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gaussian splat of a honeybee See it in 3D:
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gaussian splat of a honeybee See it in 3D:

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5 min video from an insta360 camera turned into a big ass 3d gaussian splat using the new niantic scaniverse app it’s kinda wild how well we can model the complexity of reality, and run in realtime in a browser at 100fps
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5 min video from an insta360 camera turned into a big ass 3d gaussian splat using the new niantic scaniverse app it’s kinda wild how well we can model the complexity of reality, and run in realtime in a browser at 100fps

Bilawal Sidhu

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Having another cookie? It's a "3D Photo", a Gaussian splat. #3dgs
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Having another cookie? It's a "3D Photo", a Gaussian splat. #3dgs

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2025 is year of 3D AI Rodin AI 1.5 now can not only generate 3D model with clean meshes but also create high quality textures You can export all the models to 3D software to create a new world
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2025 is year of 3D AI Rodin AI 1.5 now can not only generate 3D model with clean meshes but also create high quality textures You can export all the models to 3D software to create a new world

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Pixel3DMM is a new method that can reconstruct 3D human faces from a single RGB image or multiple frames
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The SHARP model from Apple is pretty amazing. I was able to generate a surprisingly good 3D Gaussian splat from the Big Sur wallpaper in just a few seconds. This is the kind of tech that belonged in sci-fi movies not too long ago.
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The SHARP model from Apple is pretty amazing. I was able to generate a surprisingly good 3D Gaussian splat from the Big Sur wallpaper in just a few seconds. This is the kind of tech that belonged in sci-fi movies not too long ago.

Oskar Groth

179,725 просмотров • 6 месяцев назад

LGTM from Apple: 4K feed-forward 3D Gaussian Splatting. instant 4K 3D scenes without massive GPUs.. - predicts a few lightweight 3D shapes, wraps them in ultra-high-res 2D textures. - low Memory usage You take two normal photos of a room. Instantly walk around it in flawless 3D.
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LGTM from Apple: 4K feed-forward 3D Gaussian Splatting. instant 4K 3D scenes without massive GPUs.. - predicts a few lightweight 3D shapes, wraps them in ultra-high-res 2D textures. - low Memory usage You take two normal photos of a room. Instantly walk around it in flawless 3D.

Wildminder

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one 2d photo --> 3d gaussian splat quick test with Echo-2 by SpAItial -- these 3d scene generation models are getting better! already at a sufficient quality to serve as a virtual set / backdrop in your 3d tool of choice
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one 2d photo --> 3d gaussian splat quick test with Echo-2 by SpAItial -- these 3d scene generation models are getting better! already at a sufficient quality to serve as a virtual set / backdrop in your 3d tool of choice

Bilawal Sidhu

23,511 просмотров • 2 месяцев назад

SuperSplat 2.19.0 is here! ✨ Your free and open source Gaussian Splat Editor 🎞️ Create videos of 4D Gaussian splats ➡️ Import support for SPZ and KSPLAT added 🌐 HTML viewer export now based on SOG ⌨️ New hotkeys for animation authoring [1 / 2]
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SuperSplat 2.19.0 is here! ✨ Your free and open source Gaussian Splat Editor 🎞️ Create videos of 4D Gaussian splats ➡️ Import support for SPZ and KSPLAT added 🌐 HTML viewer export now based on SOG ⌨️ New hotkeys for animation authoring [1 / 2]

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50,731 просмотров • 5 месяцев назад

SPARK can create high-quality 3D face avatars from regular videos and track expressions and poses in real time. It improves the accuracy of 3D face reconstructions for tasks like aging, face swapping, and digital makeup. 6 examples:
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SPARK can create high-quality 3D face avatars from regular videos and track expressions and poses in real time. It improves the accuracy of 3D face reconstructions for tasks like aging, face swapping, and digital makeup. 6 examples:

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Gaussian splat of a fire bug.
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Gaussian splat of a fire bug.

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Introducing 📦𝗔𝗿𝘁𝗶𝗟𝗮𝘁𝗲𝗻𝘁🔧 (SIGGRAPH Asia 2025) — a high-quality 3D diffusion model that explicitly models object articulation, paving the way for richer, more realistic assets in embodied AI and simulation: – Generates fully articulated 3D objects – Physically plausible joints & motion – High-fidelity 3D Gaussian appearance – Supports generation from a single real image arXiv: Project: Code (coming soon):
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Introducing 📦𝗔𝗿𝘁𝗶𝗟𝗮𝘁𝗲𝗻𝘁🔧 (SIGGRAPH Asia 2025) — a high-quality 3D diffusion model that explicitly models object articulation, paving the way for richer, more realistic assets in embodied AI and simulation: – Generates fully articulated 3D objects – Physically plausible joints & motion – High-fidelity 3D Gaussian appearance – Supports generation from a single real image arXiv: Project: Code (coming soon):

Xingang Pan

11,502 просмотров • 7 месяцев назад

Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction Note: Check below for full video. Abstract (cited): "In this paper, we present a self-calibrating framework that jointly optimizes camera parameters, lens distortion, and 3D Gaussian representations, enabling accurate and efficient scene reconstruction. Our technique is particularly effective for high-quality scene reconstruction from large field-of-view (FOV) imagery taken with wide-angle lenses, allowing the scene to be modeled from a smaller number of images. We introduce a novel method for modeling complex lens distortions using a hybrid network that combines invertible residual networks with explicit grids. This design effectively regularizes the optimization process, achieving greater accuracy than conventional camera models. Additionally, we propose a cubemap-based resampling strategy to support large FOV images without sacrificing resolution or introducing distortion artifacts. Our method is compatible with the fast rasterization of Gaussian Splatting, adaptable to a wide variety of camera lens distortions, and demonstrates state-of-the-art performance on both synthetic and real-world datasets."
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Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction Note: Check below for full video. Abstract (cited): "In this paper, we present a self-calibrating framework that jointly optimizes camera parameters, lens distortion, and 3D Gaussian representations, enabling accurate and efficient scene reconstruction. Our technique is particularly effective for high-quality scene reconstruction from large field-of-view (FOV) imagery taken with wide-angle lenses, allowing the scene to be modeled from a smaller number of images. We introduce a novel method for modeling complex lens distortions using a hybrid network that combines invertible residual networks with explicit grids. This design effectively regularizes the optimization process, achieving greater accuracy than conventional camera models. Additionally, we propose a cubemap-based resampling strategy to support large FOV images without sacrificing resolution or introducing distortion artifacts. Our method is compatible with the fast rasterization of Gaussian Splatting, adaptable to a wide variety of camera lens distortions, and demonstrates state-of-the-art performance on both synthetic and real-world datasets."

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there is a new high-quality lip-sync model called KeySync 🔥
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there is a new high-quality lip-sync model called KeySync 🔥

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