scene-description

This repo is no longer updated. Please see https://github.com/Autodesk/maya-usd

Physically Based Rendering Scenes

Generated image description in the form of coherent paragraphs using Densecap(CNN for Dense Captioning) and Hierarchical RNN and Model was able to perform as good as state-of-art in terms of metrics inclined towards human-like sentences.

This notebook demonstates end-to-end process of generating image embeddings from Flickr8k dataset using InceptionV3 and generate captions using LSTM.

An AI powered smart scene detection system that captures images from front and back cameras, analyzes surroundings using Gemini AI, and provides real-time voice feedback with text-to-speech for accessibility and assistive applications.

👁️ Empower visually impaired users to navigate their world with EyeCue, an AI-driven app that converts visual content into clear audio feedback.

AI-powered mobile application helping visually impaired users navigate independently through object detection, scene description, visual QA, and color identification.

Pure Ruby library and CLI for reading, composing, editing, and writing OpenUSD USDA and USDZ assets.

Scene Description/explanation using AI

MoonRay-inspired Metal path tracing renderer for Apple platforms, with SceneScript, material previews, and a Swift API.

A typed interchange schema for cinematic directorial intent. Captures camera, lighting, character, mood, and flow control as structured, machine-readable data.