Feb 21, 2026 · [2025-09-10] Our paper Mask-DiFuser: A Masked Diffusion Model for Unified Unsupervised Image Fusion has been officially accepted by IEEE Transactions on Pattern Analysis …

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation" - facebookresearch/Mask2Former

Jan 27, 2026 · We introduce a masked depth modeling approach that learns robust RGB-D representations through self-supervised learning. The model employs a Vision Transformer encoder …

Masked implementations of PQ schemes for the Cortex-M4. - simple-crypto/pqm4_masked

Official Jax Implementation of MD4 Masked Diffusion Models - google-deepmind/md4

Sep 15, 2025 · [TIP 2025] Official implementation for "MAFS: Masked Autoencoder for Infrared-Visible Image Fusion and Semantic Segmentation" - Abraham-Einstein/MAFS

Apr 14, 2025 · We introduce MDLM, a M asked discrete D iffusion L anguage M odel that features a novel (SUBS)titution based parameterization which simplifies the absorbing state diffusion loss to a …

Masked Autoencoders: A PyTorch Implementation This is a PyTorch/GPU re-implementation of the paper Masked Autoencoders Are Scalable Vision Learners:

In this sense, this work proposes three types of masked face detection dataset; namely, the Correctly Masked Face Dataset (CMFD), the Incorrectly Masked Face Dataset (IMFD) and their combination …

This projects tailors vision transformers to the characteristics of hyperspectral aerial and satellite imagery using: (i) blockwise patch embeddings (ii) spatial-spectral self-attention, (iii) spectral …