activity
20242026
collaborators

8 papers

cs.CV2026

PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards

Shulei Wang, Longhui Wei, Xin He +4

Personalized generation models for a single subject have demonstrated remarkable effectiveness, highlighting their significant potential. However, when extended to multiple subject…

cs.CV2026

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation

Zehong Ma, Longhui Wei, Shuai Wang +2

Pixel diffusion aims to generate images directly in pixel space in an end-to-end fashion. This approach avoids the limitations of VAE in the two-stage latent diffusion, offering hi…

cs.CV2025

EMMA: Efficient Multimodal Understanding, Generation, and Editing with a Unified Architecture

Xin He, Longhui Wei, Jianbo Ouyang +3

We propose EMMA, an efficient and unified architecture for multimodal understanding, generation and editing. Specifically, EMMA primarily consists of 1) An efficient autoencoder wi…

cs.CV2025

MagCache: Fast Video Generation with Magnitude-Aware Cache

Zehong Ma, Longhui Wei, Feng Wang +2

Existing acceleration techniques for video diffusion models often rely on uniform heuristics or time-embedding variants to skip timesteps and reuse cached features. These approache…

cs.CV2025

Mixpert: Mitigating Multimodal Learning Conflicts with Efficient Mixture-of-Vision-Experts

Xin He, Xumeng Han, Longhui Wei +2

Multimodal large language models (MLLMs) require a nuanced interpretation of complex image information, typically leveraging a vision encoder to perceive various visual scenarios.…

cs.CV2025

Efficient Multi-modal Long Context Learning for Training-free Adaptation

Zehong Ma, Shiliang Zhang, Longhui Wei +1

Traditional approaches to adapting multi-modal large language models (MLLMs) to new tasks have relied heavily on fine-tuning. This paper introduces Efficient Multi-Modal Long Conte…