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cs.CV2026

Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion Generation

Song Yan, Wei Zhai, Chenfeng Wang +9

Diffusion models start generation from an isotropic Gaussian latent, yet changing only the random seed can lead to large differences in prompt faithfulness, composition, and visual…

cs.CV2025

When Schrödinger Bridge Meets Real-World Image Dehazing with Unpaired Training

Yunwei Lan, Zhigao Cui, Xin Luo +5

Recent advancements in unpaired dehazing, particularly those using GANs, show promising performance in processing real-world hazy images. However, these methods tend to face limita…

cs.CV2025

Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration

Xin Luo, Menglin Zhang, Yunwei Lan +4

The Perception-Distortion tradeoff (PD-tradeoff) theory suggests that face restoration algorithms must balance perceptual quality and fidelity. To achieve minimal distortion while…

cs.CV2024

NeRF Inpainting with Geometric Diffusion Prior and Balanced Score Distillation

Menglin Zhang, Xin Luo, Yunwei Lan +5

Recent advances in NeRF inpainting have leveraged pretrained diffusion models to enhance performance. However, these methods often yield suboptimal results due to their ineffective…

cs.CV2024

StableV2V: Stablizing Shape Consistency in Video-to-Video Editing

Chang Liu, Rui Li, Kaidong Zhang +2

Recent advancements of generative AI have significantly promoted content creation and editing, where prevailing studies further extend this exciting progress to video editing. In d…