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cs.CV2026
Diffusion Image Editing via Asynchronous Token Decoding
Yang Shi, Liangsi Lu, Minzhe Guo +4
Text-guided diffusion image editing aims to modify semantic attributes of an image while preserving its identity, layout, and background. However, naïvely switching the text condit…
cs.CV2026
VEDAL: Variational Error-Driven Asynchronous Learning for 3D Gaussian Splatting Pruning
Aoduo Li, Jiancheng Li, Huan Ye +5
3D Gaussian Splatting (3DGS) achieves remarkable novel view synthesis quality with real-time rendering, yet suffers from excessive memory consumption due to millions of Gaussian pr…
cs.CV2026
Semantic Granularity Navigation in Image Editing
Liangsi Lu, Minzhe Guo, Xuhang Chen +1
Despite the generative capabilities of diffusion and flow models, real-image editing remains constrained by a persistent trade-off between semantic editability and structural fidel…