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cs.CV2026

BluePixel: Toward Native 4K Agentic Image Editing

Shanyan Guan, Shiyu Li, Xin Li +17

Instruction-driven image editing has reached native 4K, yet how such editors are trained remains undisclosed, and pretraining one from scratch is beyond most teams. The task itself…

cs.CV2026

PointLAM: Local Attentive Mamba for Efficient Point-based 3D Object Detection

Xuanming Shang, Weijia Zhang, Chao Ma

3D object detection from LiDAR point clouds faces a fundamental dilemma: voxel-based methods achieve efficiency at the cost of geometric quantization, while point-based methods pre…

cs.CV2026

Efficient and High-Quality Depth Estimation via Pixel-Space Diffusion with Linear Attention

Bingde Liu, Wu Ran, Jinglei Zhang +2

This work presents , a inear-ttention-based xel-pace generative framework that achieves efficient and high-fidelity…

cs.CV2026

ACE-LoRA: Adaptive Orthogonal Decoupling for Continual Image Editing

Yuehao Liu, Weijia Zhang, Xuanming Shang +4

State-of-the-art diffusion models often rely on parameter-efficient fine-tuning to perform specialized image editing tasks. However, real-world applications require continual adapt…

cs.LG2026

Octopus: History-Free Gradient Orthogonalization for Continual Learning in Multimodal Large Language Models

Yuehao Liu, Shanyan Guan, Weijia Zhang +4

Continual learning in multimodal large language models (MLLMs) aims to sequentially acquire knowledge while mitigating catastrophic forgetting, yet existing methods face inherent l…

cs.CV2026

Guiding a Diffusion Model by Swapping Its Tokens

Weijia Zhang, Yuehao Liu, Shanyan Guan +4

Classifier-Free Guidance (CFG) is a widely used inference-time technique to boost the image quality of diffusion models. Yet, its reliance on text conditions prevents its use in un…