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cs.CV2026

Free Lunch for Unified Multimodal Models: Enhancing Generation via Reflective Rectification with Inherent Understanding

Yibo Jiang, Tao Wu, Rui Jiang +4

Unified Multimodal Models (UMMs) aim to integrate visual understanding and generation within a single structure. However, these models exhibit a notable capability mismatch, where…

cs.CV2025

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection

Yehao Lu, Minghe Weng, Zekang Xiao +5

The Mixture of Experts (MoE) architecture has excelled in Large Vision-Language Models (LVLMs), yet its potential in real-time open-vocabulary object detectors, which also leverage…

cs.CV2025

RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control

Teng Li, Guangcong Zheng, Rui Jiang +9

Recent advancements in camera-trajectory-guided image-to-video generation offer higher precision and better support for complex camera control compared to text-based approaches. Ho…

cs.CV2025

Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models

Rui Jiang, Xinghe Fu, Guangcong Zheng +3

The rapid advancement of pretrained text-driven diffusion models has significantly enriched applications in image generation and editing. However, as the demand for personalized co…

cs.CV2024

CamI2V: Camera-Controlled Image-to-Video Diffusion Model

Guangcong Zheng, Teng Li, Rui Jiang +3

Recent advancements have integrated camera pose as a user-friendly and physics-informed condition in video diffusion models, enabling precise camera control. In this paper, we iden…