tzumaoli

6 ms·

1.
by tzumaoli 5d ago
Is this the scenario described in Ted Chiang's short story https://en.wikipedia.org/wiki/The_Evolution_of_Human_Science where scientists are "catching crumbs from the table" trying to decipher the result
2.
by tzumaoli 9d ago
One of the most important series ever written in the history of computer science is called "The Art of Computer Programming".
3.
by tzumaoli 7mo ago
Trivia: Claude Shannon proposed the idea of predicting the next token (letter) using statistics/probabilities in the training data corpus in 1950: "Prediction and Entropy of Printed English" https://languagelog.ld
4.
by tzumaoli 7mo ago
This really resonates. I am in the CS academia and I feel like I am losing "friends" who used to share the same values and social identity with me at an unprecedented speed. I wonder if it is possible to gather people like this an
5.
by tzumaoli 1y ago
It reminds me of this video: https://www.youtube.com/watch?v=FIFty-O4rOE TLDR: amazing things can happen, and people are actually nice in this kind of environment!
6.
by tzumaoli 1y ago
It could in theory. The model generates a depth image per frame, so each pixel becomes a small 3D point. It also assumes that the 3D scene is static. From this, you can then simply register all the frames into a huge 3D point cloud by unpro
7.
by tzumaoli 1y ago
The same Cornell group has done more research in this area. Here is one for capturing the microgeometry of metals https://www.cs.cornell.edu/Projects/metalappearance/ Here's another paper from a different gr
8.
by tzumaoli 1y ago
It's interesting to see the trend of the attitude towards GenAI in Hacker News through out the years. This is totally vibe based and I don't have numbers to back it up, but back in 2022-2023, the site was dominantly people who mos
9.
by tzumaoli 1y ago
When Fortran came out, I don't think a lot of people yelled at the assembly programmers and told them "learn Fortran or be replaced".
10.
by tzumaoli 1y ago
also "They will get better in no time"
11.
by tzumaoli 2y ago
Discussed in another thread https://news.ycombinator.com/item?id=41234415 As someone who has worked on diffusion model, it's a clear reject and not a very interesting architecture. The idea is to train a diffusion mod
12.
by tzumaoli 4y ago
I am a graphics researcher who has been following your blog posts on your GPU vector graphics engine. I've been benefitted by your posts and I think some of the vector graphics renderer designs you discussed in your blog are genuinely
13.
by tzumaoli 6y ago
Check out our recent work on improving image vectorization using gradient descent: https://people.csail.mit.edu/tzumao/diffvg/
14.
by tzumaoli 7y ago
Also a self-plug: our differentiable renderer "redner" also has a bunch of Jupyter notebook tutorials: https://github.com/BachiLi/redner