UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture Paper • 2512.21675 • Published Dec 25, 2025 • 25
Accelerating Masked Image Generation by Learning Latent Controlled Dynamics Paper • 2602.23996 • Published Feb 27 • 8
InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing Paper • 2603.09877 • Published Mar 10 • 48
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development Paper • 2603.27460 • Published 27 days ago • 68
Training-Free Acceleration for Document Parsing Vision-Language Model with Hierarchical Speculative Decoding Paper • 2602.12957 • Published Feb 13
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development Paper • 2603.27460 • Published 27 days ago • 68
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development Paper • 2603.27460 • Published 27 days ago • 68
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model Paper • 2604.20796 • Published 3 days ago • 219
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model Paper • 2604.20796 • Published 3 days ago • 219
On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models Paper • 2603.27481 • Published 27 days ago • 35
Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models Paper • 2602.07026 • Published Feb 2 • 140
Act2Goal: From World Model To General Goal-conditioned Policy Paper • 2512.23541 • Published Dec 29, 2025 • 23
Unimedvl: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis Paper • 2510.15710 • Published Oct 17, 2025 • 8
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark Paper • 2402.02242 • Published Feb 3, 2024
dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models Paper • 2512.19433 • Published Dec 22, 2025 • 3
dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models Paper • 2512.19433 • Published Dec 22, 2025 • 3