generation-models

Lumina-T2X is a unified framework for Text to Any Modality Generation

[CVPR 2026] Beyond Generation: Advancing Image Editing Priors for Depth and Normal Estimation

Code release for https://wonderzoom.github.io/

[NeurIPS 2023] Sentry-Image: Detect Any AI-generated Images

Benchmark for generative image models

Codebase of paper "Structure Language Models for Protein Conformation Generation" (ICLR'25)

[IROS 2025] ContactDexNet: Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-Object Contact Semantic Mapping

[TMLR 2026] Exploiting Completeness Perception with Diffusion Transformer for Unified 3D MRI Synthesis

This project utilises Natural Language Processing to generate questions, create exams and evaluate answers without using an LLM. It uses semantic chunking, retrieval-augmented question/answer generation, and a grading method built on Natural Language Inference and sentence embeddings, grounded in the original source text.

tensorflow implementation of folkrnn

A deep learning approach to generate data from a joint distribution defined by its marginals and their correlation.

Image Generation with Fine-Tuning Stable Diffusion

A transformer comparison project using IMDb reviews: DistilBERT for sentiment classification and DistilGPT2 for text generation. The goal was to understand encoder vs decoder behavior in practice by fine tuning pretrained models on the same dataset.