5 papers
Thinking inside the Convolution for Image Inpainting: Reconstructing Texture via Structure under Global and Local Side
Haipeng Liu, Yang Wang, Biao Qian +2
Image inpainting has earned substantial progress, owing to the encoder-and-decoder pipeline, which is benefited from the Convolutional Neural Networks (CNNs) with convolutional dow…
One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting
Haipeng Liu, Yang Wang, Meng Wang
Text-guided image inpainting aims at reconstructing the masked regions as per text prompts, where the longstanding challenges lie in the preservation for unmasked regions, while ac…
Boosting Adversarial Transferability via Residual Perturbation Attack
Jinjia Peng, Zeze Tao, Huibing Wang +2
Deep neural networks are susceptible to adversarial examples while suffering from incorrect predictions via imperceptible perturbations. Transfer-based attacks create adversarial e…
PIDiff: Image Customization for Personalized Identities with Diffusion Models
Jinyu Gu, Haipeng Liu, Meng Wang +1
Text-to-image generation for personalized identities aims at incorporating the specific identity into images using a text prompt and an identity image. Based on the powerful genera…
Coarse-to-Fine Lightweight Meta-Embedding for ID-Based Recommendation
Yang Wang, Haipeng Liu, Zeqian Yi +2
The state-of-the-art recommendation systems have shifted the attention to efficient recommendation, e.g., on-device recommendation, under memory constraints. To this end, the exist…