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Official Implementation for our NeurIPS 2024 paper, "Don't Look Twice: Run-Length Tokenization for Faster Video Transformers".
Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA
High-quality and editable surfel Gaussian generation through native 3D diffusion.
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Updated Nov 13, 2024
Official code for paper: Scaling Mesh Generation via Compressive Tokenization
DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion
A suite of image and video neural tokenizers
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilizatio…
Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D
Tiny self-contained C++ version of the PCG32 pseudorandom number generator
MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
Efficient vision foundation models for high-resolution generation and perception.
No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
Embedded graphics library to create beautiful UIs for any MCU, MPU and display type.
Rendering glTF scenes with ray tracer and raster (Vulkan)
Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI