Thermal 3D Scanning π‘οΈπ
π± Capture: iPhone 16 Pro + Thermal Camera
βοΈ Processing: LichtFeld Studio
π Output: 3D Gaussian Splats
π¨ Visualization: SuperSplat
Interactive model here: π
https://t.co/3r4dFaxqBY
#GaussianSplatting#LichtFeldStudio#PlayCanvas
Mobile LiDAR-SLAM Gaussian Splatting with Thermal Imaging
Captured on iPhone 16 Pro with a thermal camera, trained in LichtFeld Studio, and visualized in SuperSplat.
#PlayCanvas#LichtFeldStudio#GaussianSplatting
@migero_usausagi Yes, this is a limitation of the DA-2 algorithm: https://t.co/VDiTf8B1kh
Pano SHARP could potentially deliver better results; the published results look promising:
https://t.co/0rQFH3prIp
π Just created something completely new!
I Rewrote Apple's Sharp to generate 3D Gaussian Splats from a single 360Β° equirectangular image made from FLUX 2 (Flex)
One equirectangular image β Full spherical 3DGS world!
β¨ New web interface - drag & drop your pano, select quality, download PLY β‘ 2-3 sec on a older laptop
Quality tiers:
β«οΈ Low: 500K splats
β«οΈ Medium: 2M splats
β«οΈ High: 4.7M splats
β«οΈ Ultra: 8.4M splats
The pipeline:
360Β° depth estimation from equirectangular input
Spherical projection maps pixels β 3D points
Each point becomes a Gaussian with depth-scaled radius
- Export to standard PLY for any 3DGS viewer (Unity)
No multi-view capture. No COLMAP. No NeRF training.
Just upload a pano, pick quality, get your splats.
#3DGS #GaussianSplatting #ComputerVision #AI #madewithunity #Splats
Sharp Monocular View Synthesis in Less Than a Second https://t.co/eVLtXUlqQw
@harry_bardak As expected for per-frame monocular depth estimation, near-field geometry is relatively stable, whereas far-field regions exhibit temporal drift and reduced temporal consistency across frames (see video)
Sharp Monocular View Synthesis in Less Than a Second
Monocular Video β 4DGS
Per-frame Gaussian splats generated from monocular video, visualized in the SuperSplat Editor.
SHARP project page: https://t.co/Ny3FNLMlUB
#AppleML#PlayCanvas#SHARP#GaussianSplatting
@JohnOfProgress Yes β the βanimationβ is simply a sequence of PLY files.
If you name them 00000.ply, 00001.ply, 00002.ply, β¦ you can just drag & drop the entire sequence into SuperSplat.
SuperSplat interprets them as consecutive frames and plays them as a 4DGS animation.
Radiance Meshes: Quick Test ππΈοΈ
Watch the video and inspect the trained model in the browser with the online WebGPU Tetrahedral Viewer: π https://t.co/4MSLppYWHL
Radiance Meshes Project Page: π https://t.co/wz7zA2Fiyc
#RadianceMeshes
360Β° PANORAMA With Nano Banana π
Watch the video, generate your own panorama & try the demo: π https://t.co/YJUNtt7YIM
β¨οΈ Try this Prompt:
"Create full 360 panorama of [YOUR PLACE AND TIME] with corresponding depth image"
#WebXR#VR#NanoBanana#AI
@taigajim 4DGS SAM3 & SAM3D pipeline:
1. Input video
2. SAM3 Python script (video + prompt) β saves each segment as an image for all video frames
3. SAM3D Python script β generates Gaussian Splatting frame-by-frame from those segments
4. Load multiple GS outputs in SuperSplat