Pinned Repositories
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
awesome-tips
cascaded_rgbd_sod
code-and-dataset-for-CapSal
This project provides the code and datasets for 'CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection', CVPR 2019.
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
diffae
Official implementation of Diffusion Autoencoders
dpm-solver-my-playground
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
DPT
Dense Prediction Transformers
Evaluation-on-salient-object-detection
A python implementation of five popular metrics for salient object detection
Dijkstra14's Repositories
Dijkstra14/photoswap
Official implementation of the NeurIPS 2023 paper "Photoswap: Personalized Subject Swapping in Images"
Dijkstra14/prompt-to-prompt
Dijkstra14/lora
Using Low-rank adaptation to quickly fine-tune diffusion models.
Dijkstra14/awesome-tips
Dijkstra14/pix2pix3D
pix2pix3D: Generating 3D Objects from 2D User Inputs
Dijkstra14/Pix2NeRF
Dijkstra14/Hex-plane-continuation-DPM
Release for Improved Denoising Diffusion Probabilistic Models
Dijkstra14/MCG_diffusion
My playground ofthe NeurIPS 2022 paper "Improving Diffusion Models for Inverse Problems using Manifold Constraints (https://arxiv.org/abs/2206.00941)"
Dijkstra14/multinomial_diffusion
my playgroud of multinomial diffusion
Dijkstra14/dpm-solver-my-playground
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
Dijkstra14/Evaluation-on-salient-object-detection
A python implementation of five popular metrics for salient object detection
Dijkstra14/LDU
Latent Discriminant deterministic Uncertainty [ECCV2022]
Dijkstra14/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
Dijkstra14/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Dijkstra14/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
Dijkstra14/diffae
Official implementation of Diffusion Autoencoders
Dijkstra14/cascaded_rgbd_sod
Dijkstra14/DPT
Dense Prediction Transformers
Dijkstra14/Multimodal-Infomax
This repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis, accepted at EMNLP 2021.
Dijkstra14/MISA
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis
Dijkstra14/code-and-dataset-for-CapSal
This project provides the code and datasets for 'CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection', CVPR 2019.