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20242026
most citedDiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative Refinement

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

DiffRGD: An Inference-Time Diffusion Guidance Through Riemannian Gradient Descent

Jia-Wei Liao, Li-Xuan Peng, Mei-Heng Yueh +3

Recently, diffusion models have been widely adopted in generative modeling and have served as foundational models for many image generation tasks. To control the generation without…

cs.CV2025

M-ErasureBench: A Comprehensive Multimodal Evaluation Benchmark for Concept Erasure in Diffusion Models

Ju-Hsuan Weng, Jia-Wei Liao, Cheng-Fu Chou +1

Text-to-image diffusion models may generate harmful or copyrighted content, motivating research on concept erasure. However, existing approaches primarily focus on erasing concepts…

cs.CV2024★ 1 cited

DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative Refinement

Jia-Wei Liao, Winston Wang, Tzu-Sian Wang +4

With the success of Diffusion Models for image generation, the technologies also have revolutionized the aesthetic Quick Response (QR) code generation. Despite significant improvem…

cs.CV2024

Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models

Chun-Yen Shih, Li-Xuan Peng, Jia-Wei Liao +3

Diffusion Models have emerged as powerful generative models for high-quality image synthesis, with many subsequent image editing techniques based on them. However, the ease of text…

cs.CV2024

Diffusion-based Aesthetic QR Code Generation via Scanning-Robust Perceptual Guidance

Jia-Wei Liao, Winston Wang, Tzu-Sian Wang +3

QR codes, prevalent in daily applications, lack visual appeal due to their conventional black-and-white design. Integrating aesthetics while maintaining scannability poses a challe…