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Stanford University
- Palo Alto, CA
- https://paschalidoud.github.io/
- @paschalidoud_1
Stars
CAD: Photorealistic 3D Generation via Adversarial Distillation (CVPR 2024)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Code for "Generating Part-Aware Editable 3D Shapes without 3D Supervision", CVPR 2023
Just some tools and stuff for my home directory
ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups
Tooling for the Common Objects In 3D dataset.
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Boilerplate code for running experiments with PyTorch
Python library for loading and using triangular meshes.
Meta-Sim: Learning to Generate Synthetic Datasets (ICCV 2019)
Repository for the paper "Convolutional Mesh Regression for Single-Image Human Shape Reconstruction"
A flexible variational inference LDA library.
Pytorch library for fast transformer implementations
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"
Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018
Web interface for browsing, search and filtering recent arxiv submissions
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Python bindings for FFmpeg - with complex filtering support
This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using attention-sampling
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
3D visualization of scientific data in Python