Apple’s new AI model recreates 3D objects with realistic lighting effects from a single image

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects consistent across viewing angles.
IEEE

SED++: A Simple Encoder-Decoder for Improved Open-Vocabulary Semantic Segmentation

Abstract: Open-vocabulary semantic segmentation aims to partition an image into distinct semantic regions based on an open set of categories. Existing approaches primarily rely on image-level ...
GitHub

anasseffraoui/SSL-Deforestation-Detection

Applied DINO SSL pretraining on unlabeled Amazon data, then fine-tuned on labeled Cerrado data for deforestation detection. Deforestation_Detection/ │ ├── README.md # This file ├── requirements.txt # ...
GitHub

Official Implementation of Dyn-O: Building Structured World Models with Object-Centric Representations (NeurIPS 2025)

The code is validated on python 3.10.14 + CUDA 11.8 + pyTorch 2.4.0. It should work for newer python, CUDA and pyTorch versions but not guaranteed. conda create -n ...
IEEE

An Encoder–Decoder Model Based on Spiking Neural Networks for Address Event Representation Object Recognition

Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...