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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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41,516 görüntüleme • 1 yıl önce •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)

Ian Curtis

117,950 görüntüleme • 1 yıl önce

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

63,254 görüntüleme • 5 ay önce

ViewCrafter can generate high-quality 3D views from single or few images using a video diffusion model! It allows for precise camera control and is useful for real-time rendering and turning text into 3D scenes. Links ⬇️
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ViewCrafter can generate high-quality 3D views from single or few images using a video diffusion model! It allows for precise camera control and is useful for real-time rendering and turning text into 3D scenes. Links ⬇️

Dreaming Tulpa 🥓👑

19,901 görüntüleme • 2 yıl önce

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

el.cine

92,563 görüntüleme • 1 yıl önce

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 görüntüleme • 9 ay önce

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

46,458 görüntüleme • 5 ay önce

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]

Will Eastcott

50,731 görüntüleme • 7 ay önce

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:

Dreaming Tulpa 🥓👑

193,859 görüntüleme • 2 yıl önce

I am blown away 🤯. Check this out! CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models TL;DR: "To enable broader exploration of dynamic scenes, our model can generate new video clips of the same scene based on previously generated content and user-provided camera trajectories. This approach maintains dynamic capabilities, accurate camera control, and scene consistency throughout the extended exploration." "Our model enables precise camera control across diverse scenarios while preserving dynamic scene elements, e.g." "Our method can generate videos with strong 3D consistency, which enables high-quality 3D reconstruction using the camera-controlled videos." Contributions: 1) A systematic data curation pipeline for constructing a dynamic video dataset with camera trajectory annotations; 2) A lightweight camera control injection module and corresponding training strategy that preserves dynamic video generation capabilities while adding camera control effect; 3) A clip-wise autoregressive generation recipe that enables extended range exploration of generated scenes.
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I am blown away 🤯. Check this out! CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models TL;DR: "To enable broader exploration of dynamic scenes, our model can generate new video clips of the same scene based on previously generated content and user-provided camera trajectories. This approach maintains dynamic capabilities, accurate camera control, and scene consistency throughout the extended exploration." "Our model enables precise camera control across diverse scenarios while preserving dynamic scene elements, e.g." "Our method can generate videos with strong 3D consistency, which enables high-quality 3D reconstruction using the camera-controlled videos." Contributions: 1) A systematic data curation pipeline for constructing a dynamic video dataset with camera trajectory annotations; 2) A lightweight camera control injection module and corresponding training strategy that preserves dynamic video generation capabilities while adding camera control effect; 3) A clip-wise autoregressive generation recipe that enables extended range exploration of generated scenes.

MrNeRF

12,633 görüntüleme • 1 yıl önce

Single video → a reframeable 4D Gaussian Splatting scene. Not a sequence of separately built 3D frames played back like a video. This is one continuous space-time scene, reconstructed from a single clip shot on an iPhone 16. We combine feed-forward Gaussian generation, 3D tracking, and 4D Gaussian Splatting, aiming to deliver it as a compact 4D video file that runs on your phone. Still early R&D. The goal: make 4DGS something anyone can create and experience, not just researchers with a camera rig.
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Single video → a reframeable 4D Gaussian Splatting scene. Not a sequence of separately built 3D frames played back like a video. This is one continuous space-time scene, reconstructed from a single clip shot on an iPhone 16. We combine feed-forward Gaussian generation, 3D tracking, and 4D Gaussian Splatting, aiming to deliver it as a compact 4D video file that runs on your phone. Still early R&D. The goal: make 4DGS something anyone can create and experience, not just researchers with a camera rig.

KIRI Engine - 3D Scanner App

31,627 görüntüleme • 2 ay önce

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

11,531 görüntüleme • 10 ay önce

Single-image 3D Gaussian Splatting keeps getting better. This new demo from the InfiniSplat team produces some surprisingly convincing indoor scenes from just a single image. It’s still largely limited to indoor environments for now, but the quality and consistency are genuinely impressive.
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Single-image 3D Gaussian Splatting keeps getting better. This new demo from the InfiniSplat team produces some surprisingly convincing indoor scenes from just a single image. It’s still largely limited to indoor environments for now, but the quality and consistency are genuinely impressive.

KIRI Engine - 3D Scanner App

12,467 görüntüleme • 2 ay önce

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 🔥

Dreaming Tulpa 🥓👑

39,778 görüntüleme • 1 yıl önce

You can now walk through a real-world Gaussian Splat scene in PlayCanvas 🚶🕺 New first-person and third-person demos, powered by a brand-new reusable third-person camera controller: mouse orbit, wall-collision avoidance, scroll-wheel zoom, animations & shadow catcher 🧵
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You can now walk through a real-world Gaussian Splat scene in PlayCanvas 🚶🕺 New first-person and third-person demos, powered by a brand-new reusable third-person camera controller: mouse orbit, wall-collision avoidance, scroll-wheel zoom, animations & shadow catcher 🧵

Martin Valigursky

75,099 görüntüleme • 4 ay önce

New open source LoRA Multi-Angles I created with fal for Flux.2 🔥 Flux2.-Lora-Multi-Angles: give a camera angle in degrees → get your image from that view. To build this, I created a system that captures 72 positions from Gaussian Splatting to generate the training dataset fully automatically in a webgl viewer. ▶️ Test: 📥 Weights: Should I open source my WebGL viewer so you can train your own from gaussian splatting ?
0:14

New open source LoRA Multi-Angles I created with fal for Flux.2 🔥 Flux2.-Lora-Multi-Angles: give a camera angle in degrees → get your image from that view. To build this, I created a system that captures 72 positions from Gaussian Splatting to generate the training dataset fully automatically in a webgl viewer. ▶️ Test: 📥 Weights: Should I open source my WebGL viewer so you can train your own from gaussian splatting ?

Lovis Odin

43,693 görüntüleme • 9 ay önce