3 papers
cs.CV2026
TurboClear: One-Step Object-Effect Removal via Region-Calibrated Distribution Matching and Fusion
Jiawei Guo, Junxian Li, Yixin Tang +4
Recently, diffusion-based removal methods have achieved promising visual quality in removing both target objects and their associated effects. However, they typically rely on multi…
cs.CV2026
FlashClear: Ultra-Fast Image Content Removal via Efficient Step Distillation and Feature Caching
Yixin Tang, Jiawei Guo, Junxian Li +6
Recently, diffusion-based object removal models have achieved impressive results in eliminating objects and their associated visual effects. However, they indiscriminately denoise…
cs.CV2026
Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution
Jingkai Wang, Yixin Tang, Jue Gong +6
Diffusion transformer (DiT) architectures show great potential for real-world image super-resolution (Real-ISR). However, their computationally expensive iterative sampling necessi…