12 papers
AttnRouter: Per-Category Attention Routing for Training-Free Image Editing on MMDiT
Guandong Li, Mengxia Ye
We study training-free image editing on Qwen-Image-Edit-2511, a 60-block multi-modal diffusion transformer (MMDiT) that concatenates noise and source-image tokens within a single a…
PhysEdit: Physically-Consistent Region-Aware Image Editing via Adaptive Spatio-Temporal Reasoning
Guandong Li, Mengxia Ye
Image editing instructions are heterogeneous: a color swap, an object insertion, and a physical-action edit all demand different spatial coverage and different reasoning depth, yet…
Edit Fidelity Field: Semantics-Aware Region Isolation for Training-Free Scene Text Editing
Guandong Li, Mengxia Ye
Scene text editing (STE) has achieved remarkable progress in accurately rendering target text through diffusion-based methods. However, we identify a critical yet overlooked proble…
QueryPlot: Generating Geological Evidence Layers using Natural Language Queries for Mineral Exploration
Meng Ye, Xiao Lin, Georgina Lukoczki +2
Mineral prospectivity mapping requires synthesizing heterogeneous geological knowledge, including textual deposit models and geospatial datasets, to identify regions likely to host…
Inject Where It Matters: Training-Free Spatially-Adaptive Identity Preservation for Text-to-Image Personalization
Guandong Li, Mengxia Ye
Personalized text-to-image generation aims to integrate specific identities into arbitrary contexts. However, existing tuning-free methods typically employ Spatially Uniform Visual…
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture
Guandong Li, Mengxia Ye
Hyperspectral image (HSI) classification faces challenges such as high-dimensional data, limited training samples, and spectral redundancy, which often lead to overfitting and insu…
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating
Guandong Li, Mengxia Ye
Deep neural networks face several challenges in hyperspectral image classification, including high-dimensional data, sparse distribution of ground objects, and spectral redundancy,…
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification
Guandong Li, Mengxia Ye
Deep neural networks face several challenges in hyperspectral image classification, including high-dimensional data, sparse distribution of ground objects, and spectral redundancy,…
Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification
Guandong Li, Mengxia Ye
Deep neural networks face several challenges in hyperspectral image classification, including high-dimensional data, sparse distribution of ground objects, and spectral redundancy,…
3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification
Guandong Li, Mengxia Ye
Deep neural networks face numerous challenges in hyperspectral image classification, including high-dimensional data, sparse ground object distributions, and spectral redundancy, w…
Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification
Guandong Li, Mengxia Ye
Deep neural networks face several challenges in hyperspectral image classification, including complex and sparse ground object distributions, small clustered structures, and elonga…
Efficient Dynamic Attention 3D Convolution for Hyperspectral Image Classification
Guandong Li, Mengxia Ye
Deep neural networks face several challenges in hyperspectral image classification, including insufficient utilization of joint spatial-spectral information, gradient vanishing wit…