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Stanford University
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A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Official Jax Implementation of MD4 Masked Diffusion Models
Lifting ControlNet for Generalized Depth Conditioning
The official implementation of "[MASK] is All You Need"
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Fast and memory-efficient exact attention
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Open roles at Kaedim and a summary of what it's like to work with us.
Official inference repo for FLUX.1 models
[CVPR 2025] 3DTopia-XL: High-Quality 3D PBR Asset Generation via Primitive Diffusion
📚 A collection of sketch based application papers.
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
Official codebase for "Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis" (https://arxiv.org/abs/2312.03491).
Supports SIGGRAPH Asia 2019 paper "GATA: Multi-Theme Generative Adversarial Terrain Amplification"
A unified framework for 3D content generation.
Source code repo for VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation
Code for paper "PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify" [ICLR2025]
An NVIDIA AI Workbench example project for an Agentic Retrieval Augmented Generation (RAG)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬