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Stony Brook University
- New York
Highlights
- Pro
Stars
A basic Python package setup with GitHub workflow.
Generative Models by Stability AI
[CVPR'23] Learning Neural Parametric Head Models
Official repo for the CVM 2022 paper "Learning Physically-based Material and Lighting Decompositions for Face Editing."
[CVPR 2023] L2G-NeRF: Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields
Official implementation of FaceXFormer: A Unified Transformer for Facial Analysis
Differential Gaussian Rasterization with Depth forward and backward functionality
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
FFHQ-UV-Intrinstics: A dataset containing intrinsic face decomposition for 10k subjects of FFHQ-UV
A unified framework for 3D content generation.
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
A simple and easy implementation of Wavelet Transform
Implementation of All-Frequency Shadows Using Non-linear Wavelet Lighting Approximation by Ren Ng et al.
RoMa: A lightweight library to deal with 3D rotations in PyTorch.
Official repo for consistency models.
🦜🔗 Build context-aware reasoning applications
Official implementation of arxiv paper "4K-NeRF: High Fidelity Neural Radiance Fields at Ultra High Resolutions"
The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
Cuda implementation for gridsample with second derivative support
Metric depth estimation from a single image
A set of tools to visualize and interact with sequences of 3D data.