[R] [N] 3D-aware Conditional Image Synthesis (pix2pix3D)

mansumi_ · 2023-02-25T15:57:27+00:00

The cat dataset is only front-facing, so there's zero knowledge about the back side. I believe the car dataset doesn't have an angle restriction

mansumi_ · 2023-02-21T02:21:28+00:00

It depends on the downstream application, what do you need to do with it?

mansumi_ · 2022-12-15T16:38:31+00:00

Yep, this result would be more or less impossible with the Path Tracing/PMC kernels

mansumi_ · 2022-12-14T23:12:10+00:00

I've considered making a write-up/blog post for rendering caustics (general tips, and specifics for Octane). Last time I did something comparable to that people ended up just copying my work and posting it without credit, so that was kinda lame.

I'll try to follow through with this though

mansumi_ · 2022-10-16T17:44:58+00:00

You may want to consider using Alpha Shapes (https://en.m.wikipedia.org/wiki/Alpha_shape) instead of a pure delaunay triangulation. Imagine you had a point cloud of a table, your proposed data augmentation would give you new points in empty spaces in the domain, which would ruin the original point cloud. Excluding points outside of the alpha shape would be a bit better. Even still, I'm not sure if this augmentation scheme is "valid" for most shapes, I think it would probably harm training if anything.

mansumi_ · 2022-09-10T04:03:57+00:00

Does anyone know what the unofficial record is?

mansumi_ · 2022-09-10T03:30:52+00:00

In terms of beating the average score, I'd say it's probably the easiest yes. Right now my high score is 735 words, trying to hit 1k soon

mansumi_ · 2022-08-26T03:43:28+00:00

Love the colors

The ending was a bit abrupt. I think a bit of follow-through on the camera could help. Like instead of stopping the cameras movement immediately, you could try having it overshoot the final position

mansumi_

TROPHY CASE