PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model
Xiang Gao, Shuai Yang, Jiaying Liu
2025年份
3顶会引用
摘要
cn "forest path, painting" "ruins" "laboratory" "harbor, oil painting" "stones" "leaves" reference "desert" "music room, painting" * Corresponding author. asynchronous phase transfer to enable flexible control over the degree of hidden content discernability. Our method bypasses any model training and fine-tuning process, all while substantially outperforming related methods in image quality, text fidelity, visual discernibility, and contextual naturalness for illusion picture synthesis, as demonstrated by extensive qualitative and quantitative experiments. Our
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引用它的顶会 Paper3
- Stroke of Surprise: Progressive Semantic Illusions in Vector SketchingHuai-Hsun Cheng, Siang-Ling Zhang, Yu-Lun LiuSIGGRAPH 2026 · 被引用 1 次
- Steering Where to Diffuse: Generative Modeling of Phenotypic Response Simulation with Steered Diffusion BridgeRongchao Zhang, Chengxin Li, Yiwei Lou, Yuling Shi 等CVPR 2026 · 被引用 1 次
- Text-guided Controllable Diffusion for Realistic Camouflage Images GenerationYuhang Qian, Haiyan Chen, Wentong Li, Ningzhong Liu 等AAAI 2026 · 被引用 1 次
它引用的顶会 Paper28
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 被引用 35,902 次
- Diffusion Models Beat GANs on Image SynthesisPrafulla Dhariwal, Alexander Quinn NicholNeurIPS 2021 · 被引用 13,211 次
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 被引用 11,743 次
- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, Lala Li 等NeurIPS 2022 · 被引用 8,965 次
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