[CVPR 2022] Code release for "Multimodal Token Fusion for Vision Transformers"
A PyTorch implementation of the paper Multimodal Transformer with Multiview Visual Representation for Image Captioning
PyTorch Implementation of Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Text to Image & Reverse Image Search Engine built upon Vector Similarity Search utilizing CLIP VL-Transformer for Semantic Embeddings & Qdrant as the Vector-Store
Source code for COMP90042 Project 2021
Clasificación de imágenes y asignación de textos mediante redes neuronales convolucionales y transformers multimodales
This project implements a Generalist Robotics Policy (GRP) using a Vision Transformer (ViT) architecture. The model is designed to process multiple input types, including images, text goals, and goal images, to generate continuous action outputs for robotic control.
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