3 papers
cs.CV2026
LPNSR: Learnable Noise Prediction for Diffusion-Based Image Super-Resolution
Shuwei Huang, Shizhuo Liu, Zijun Wei
Diffusion-based image super-resolution (SR) aims to reconstruct high-resolution (HR) images from low-resolution (LR) observations. A key property of diffusion models is that, once…
cs.CV2025
Enhancing Noise Resilience in Face Clustering via Sparse Differential Transformer
Dafeng Zhang, Yongqi Song, Shizhuo Liu
The method used to measure relationships between face embeddings plays a crucial role in determining the performance of face clustering. Existing methods employ the Jaccard similar…
cs.CV2025
From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging
Tao Liu, Dafeng Zhang, Gengchen Li +7
Face aging has become a crucial task in computer vision, with applications ranging from entertainment to healthcare. However, existing methods struggle with achieving a realistic a…