computer-vision

[BMVC 2025] Official implementation for paper EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidance

A Collection of AIGC Research Groups

Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)

[CVPR 2025] 3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement

InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.

UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer

[IEEE TIP 2022] Official implementation of MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer

🔍 Table Extraction Tool: A powerful open-source solution combining OCR and computer vision for extracting structured tabular data from images. Ideal for LLM preprocessing, data analysis, and automation. 🚀

ACCV 2020 "Speech2Video Synthesis with 3D Skeleton Regularization and Expressive Body Poses"

This repository is used to collect papers and code in the field of AI.

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AI based all-in-one character generator Blender plug-in. This project contains unofficial updates for the CEB_ECON Blender add-on.

ECML 2019: Graph Neural Networks for Multi-Label Classification

🐊 Snappy's unique approach unifies vision-language late interaction with structured OCR for region-level knowledge retrieval. Like the project? Drop a star! ⭐

AI‑powered web exam system with face recognition, webcam, browser, and audio checks ensures integrity in remote assessments. Flask prototype reached ~72% functional accuracy and 90%+ detection rates, reducing cheating in online education.

Create high-fidelity Codex companions from 2+ photos with local open-weight neural editing and no OpenAI API key.

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

An autonomous, context-aware AI desktop companion. Built with Python, featuring real-time screen vision, custom ONNX voice synthesis, active window tracking, and a dynamic floating UI with reactive facial expressions.

Implementation of DreamBooth in KerasCV and TensorFlow.

Multi-modal AI-generated content detection: image, video, and audio. Benchmarks, training code (DINOv2, DINOv3, ReStraV, BreathNet), and evaluation pipeline for real vs. synthetic classification with calibration-aware metrics.