Meshed-Memory Transformer for Image Captioning. CVPR 2020

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019

[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model, a unified and user-friendly shape-language model

[CVPR 2023] Vote2Cap-DETR and [T-PAMI 2024] Vote2Cap-DETR++; A set-to-set perspective towards 3D Dense Captioning; State-of-the-Art 3D Dense Captioning methods

[ECCV2022] D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding

Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers

PyTorch library for Visual-Semantic tasks

Deep CNN-LSTM for Generating Image Descriptions 😈

Computer Vision: Generate captions that describe the contents of images using PyTorch

[IJCAI 2022] Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds (official pytorch implementation)

To ease the driver to identify the Traffic Signs and also for the efficient working of Self-Driving Cars.

A deep learning model that generates descriptions of an image.

Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization (BMVC 2024 Oral ✨)

oCaption: Leveraging OpenAI's GPT-4 Vision for Advanced Image Captioning

Sample app to add captions to an uploaded video. From api.video (https://api.video)

This is a repo providing same stable diffusion experiments, regarding textual inversion task and captioning task

Image-to-Text