MeshAnything – Converts 3D representations into efficient 3D meshes(buaacyw.github.io)

277 points by flockonus 2 years ago | 62 comments

RenderFormer: Neural rendering of triangle meshes with global illumination(microsoft.github.io)

259 points by klavinski 1 year ago | 51 comments

EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer(haidog-yaqub.github.io)

73 points by blacktechnology 2 years ago | 10 comments

GenCAD(gencad.github.io)

418 points by dagenix 5 months ago | 115 comments

Project page for GenCAD, an MIT research model that generates CAD designs from images using transformer-based contrastive representations and diffusion priors.

Meta-Transformer: A unified framework for multimodal learning(kxgong.github.io)

81 points by ulrikhansen54 3 years ago | 26 comments

Magvit: Masked Generative Video Transformer(magvit.cs.cmu.edu)

108 points by mfiguiere 3 years ago | 6 comments

OpenAI – transformer debugger release(github.com)

318 points by nmca 2 years ago | 91 comments

GitHub repository for OpenAI's Transformer Debugger, a tool for investigating internal behaviors of small language models, including neuron explainer and viewer.

Show HN: Building a web search engine from scratch with 3B neural embeddings(blog.wilsonl.in)

578 points by wilsonzlin 1 year ago | 97 comments

Wilson Lin's blog post describing how he built a web search engine from scratch in two months using 3 billion neural embeddings.

Trellis – 3D mesh generative model(trellis3d.github.io)

400 points by tarr11 1 year ago | 75 comments

Project page for TRELLIS, a Microsoft Research, Tsinghua, and USTC method using structured 3D latents for scalable, versatile 3D asset generation.

Detecting model weight tampering in GPU memory (Rome attacks)(stealthium.io)

15 points by rafaeldavidtin 7 days ago | 1 comments

Blog post from Stealthium on detecting tampering of AI model weights in GPU memory, such as ROME model-editing attacks.

Gemma 3 Technical Report [pdf](storage.googleapis.com)

464 points by meetpateltech 1 year ago | 239 comments

Google DeepMind's technical report PDF describing the Gemma 3 family of open-weight language models.

Getting AI to work in complex codebases(github.com)

442 points by dhorthy 1 year ago | 368 comments

A GitHub markdown document from HumanLayer describing advanced context engineering techniques for getting AI coding agents to work in complex codebases.