3 papers
cs.CV2026
Latent Bias Alignment for High-Fidelity Diffusion Inversion in Real-World Image Reconstruction and Manipulation
Weiming Chen, Qifan Liu, Siyi Liu +4
Recent research has shown that text-to-image diffusion models are capable of generating high-quality images guided by text prompts. But can they be used to generate or approximate…
cs.CV2025
Generative Semantic Coding for Ultra-Low Bitrate Visual Communication and Analysis
Weiming Chen, Yijia Wang, Zhihan Zhu +1
We consider the problem of ultra-low bit rate visual communication for remote vision analysis, human interactions and control in challenging scenarios with very low communication b…
cs.CV2025
Runge-Kutta Approximation and Decoupled Attention for Rectified Flow Inversion and Semantic Editing
Weiming Chen, Zhihan Zhu, Yijia Wang +1
Rectified flow (RF) models have recently demonstrated superior generative performance compared to DDIM-based diffusion models. However, in real-world applications, they suffer from…