This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
-
Updated
Feb 9, 2022 - Python
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
Official implementation of ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis
[TPAMI 2025] Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Course materials for module on modelling networks. John McLevey. 2024. Introduction to Computational Social Science with Python. GESIS Fall Seminar in Computational Social Science.
Two Generalized Energy Based Models for time-series generation. Thesis for MSc Computational Statistics and Machine Learning program at UCL.
Pytorch Implementation of MD4: Simplified and Generalized Masked Diffusion for Discrete Data
3rd Year: 1st - 104/100. Generative Modelling: Applying GANs to generate out-of-sample inter-class images - "The Mythical Pegasus: A Mysterious Journey".
This repository contains my final submission for the COMP3547 Deep Learning module assignment at Durham University in the academic year 2022/2023. The project focuses on diffusion-based models and their application in synthesising new, unique images, which could plausibly come from a training data set. Final grade received was 71/100.
PyTorch implementation for the framework presented in the paper: Generative Fourier-based Auto-Encoders: Preliminary Results paper
Add a description, image, and links to the generative-modelling topic page so that developers can more easily learn about it.
To associate your repository with the generative-modelling topic, visit your repo's landing page and select "manage topics."