nobbis
Joined 14 years ago
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289
Submissions
96
Member since
May 18
Recent submissions
Comment · 1 year ago
ROS 1 had schema evolution (rosbag migration) 15 years ago
Comment · 1 year ago
Understood. Thanks for the clarification.
Comment · 1 year ago
Wait, you renamed Forge (https://forge.dev) released last week by World Labs, a startup that raised $230M.
Is this "I worked with some friends and I hope you find useful" or is it "So proud of the World Labs team that made this happen, and we are making this open source for everyone" (CEO, World Labs)?
Comment · 3 years ago
> The big difference of course, based on reading this, is that NeRF models the whole light transmission function ("radiance field") whereas this seems to model only the boundary conditions (what the light "hits").
The title of the paper is "3D Gaussian Splatting for Real-Time Radiance Field Rendering". Each rendered pixel weights the contribution of unbounded view-dependent Gaussians. So, no, that's not a difference.
Comment · 3 years ago
IANAL but I assume so. "Employee of a competing company" (whatever that means) isn't a protected class.
Comment · 3 years ago
And Matterport will never see them coming, as their employees are banned from using Luma:
Competitors: No employee, independent contractor, agent, or affiliate of any competing 3-D capture company is permitted to view, access, or use any portion of the Service without express written permission from Luma AI. By viewing, using, or accessing the Service, you represent and warrant that you are not a competitor of Luma AI or any of its affiliates, or acting on behalf of a competitor of Luma AI in using or accessing the Service.
(Disclaimer: another banned competitor)
Comment · 3 years ago
Rising rates don't make the dollar stronger. There's no empirical relationship between interest rates and exchange rates.
Comment · 4 years ago
Yes, although not complete noise – probably empty. Haven't checked but assume there's regularization of the NeRF parameters.
Comment · 4 years ago
DreamFusion doesn't directly build a 3D model from those generated images.
It starts with a completely random 3D voxel model, renders it from 6 different angles, then asks Stable Diffusion how plausible an image of "X, side view" it is.
It then sprinkles some noise on the rendering, makes Stable Diffusion improve it a little, then adjusts the voxels to produce that image (using differentiable rendering.)
Rinse and repeat for hours.
Comment · 4 years ago
Key step in generating 3D – ask Stable Diffusion to score views from different angles:
for d in ['front', 'side', 'back', 'side', 'overhead', 'bottom']:
text = f"{ref_text}, {d} view"
Comment · 4 years ago
Took a week, as predicted: https://twitter.com/DvashElad/status/1575614411834011651
Comment · 4 years ago
We rely on Wasm for Metascan (https://metascan.ai/explore) which allows us to use the same rendering code on iOS, the desktop, and the web.
Accessing multithreading is limited as SharedArrayBuffer requires cross-origin isolation to mitigate Spectre. Apart from that, it works great.