NVIDIA Research
Mar 21, 2024
Rethinking How to Train Diffusion Models
After exploring the fundamentals of diffusion model sampling, parameterization, and training as explained in Generative AI Research Spotlight: Demystifying...
15 MIN READ
Feb 06, 2024
Generative AI Research Spotlight: Personalizing Text-to-Image Models
Visual generative AI is the process of creating images from text prompts. The technology is based on vision-language foundation models that are pretrained on...
11 MIN READ
Dec 19, 2023
Most Popular NVIDIA Technical Blog Posts of 2023: Generative AI, LLMs, Robotics, and Virtual Worlds Breakthroughs
As we approach the end of another exciting year at NVIDIA, it's time to look back at the most popular stories from the NVIDIA Technical Blog in 2023....
5 MIN READ
Dec 18, 2023
Teaching AVs the Language of Human Driving Behavior with Trajeglish
Much of the communication between drivers goes beyond turn signals and brake lights. Motioning another car to proceed, looking over to see if another driver is...
5 MIN READ
Dec 14, 2023
Generative AI Research Spotlight: Demystifying Diffusion-Based Models
With Internet-scale data, the computational demands of AI-generated content have grown significantly, with data centers running full steam for weeks or months...
26 MIN READ
Dec 11, 2023
NVIDIA Research Shows Interactive Texture Painting with Gen AI at SIGGRAPH Asia Real-Time Live
NVIDIA researchers took the stage at SIGGRAPH Asia Real-Time Live event in Sydney to showcase generative AI integrated into an interactive texture painting...
5 MIN READ
Dec 05, 2023
Reconstructing Dynamic Driving Scenarios Using Self-Supervised Learning
From monotonous highways to routine neighborhood trips, driving is often uneventful. As a result, much of the training data for autonomous vehicle (AV)...
6 MIN READ
Nov 28, 2023
Simulating Realistic Traffic Behavior with a Bi-Level Imitation Learning AI Model
From last-minute cut-ins to impromptu U-turns, human drivers can be incredibly unpredictable. This unpredictability stems from the complex nature of human...
5 MIN READ
Oct 22, 2023
Differentiable Slang: Example Applications
Differentiable Slang easily integrates with existing codebases—from Python, PyTorch, and CUDA to HLSL—to aid multiple computer graphics tasks and enable...
6 MIN READ
Oct 22, 2023
Differentiable Slang: A Shading Language for Renderers That Learn
NVIDIA just released a SIGGRAPH Asia 2023 research paper, SLANG.D: Fast, Modular and Differentiable Shader Programming. The paper shows how a single language...
12 MIN READ
Aug 22, 2023
Accelerated Encrypted Execution of General Purpose Applications
The advent of cloud computing has ushered in a paradigm shift in our data storage and utilization practices. Businesses can bypass the complexities of managing...
7 MIN READ
Aug 17, 2023
Designing Deep Networks to Process Other Deep Networks
Deep neural networks (DNNs) are the go-to model for learning functions from data, such as image classifiers or language models. In recent years, deep models...
15 MIN READ
Jul 27, 2023
Sensing New Frontiers with Neural Lidar Fields for Autonomous Vehicle Simulation
Autonomous vehicle (AV) development requires massive amounts of sensor data for perception development. Developers typically get this data from two...
6 MIN READ
Jul 27, 2023
Modeling Earth’s Atmosphere with Spherical Fourier Neural Operators
Machine learning-based weather prediction has emerged as a promising complement to traditional numerical weather prediction (NWP) models. Models such as NVIDIA...
8 MIN READ
Jul 24, 2023
Event: Jensen Huang NVIDIA Keynote at SIGGRAPH 2023
On Aug. 8, Jensen Huang features new NVIDIA technologies and award-winning research for content creation.
1 MIN READ
Jun 09, 2023
Recreate High-Fidelity Digital Twins with Neural Kernel Surface Reconstruction
Reconstructing a smooth surface from a point cloud is a fundamental step in creating digital twins of real-world objects and scenes. Algorithms for surface...
5 MIN READ