26 citations · 28 across the 13 of their papers we have counts for
13 papers
DORS: Dynamic Attention Routing for Diffusion-based Object Removal in Dense Scenes
Haitong Tang, Haipeng Liu, Yang Wang
Object removal aims to eliminate target objects specified by a mask while preserving visual consistency with the surrounding regions. Existing methods typically rely on contextual…
Rare Concept Generation via Counterfactual Inference in Diffusion Models
Zhengyuan Jiang, Haipeng Liu, Meng Wang +1
Rare concept generation focuses on synthesizing customized images conditioned on text prompts that describe objects with unusual attributes. Previous works failed to align the gene…
STEDiff: Strengthening Text Embedding for Text-to-Image Alignment in Diffusion Model
Hailan Zhang, Haipeng Liu, Bo Fu +1
Although pretrained text-to-image (T2I) generation models can produce high-quality images, they often fail to faithfully reflect the semantic intent of complex prompts due to stoch…
AI-T2I: Aggregating-and-Isolating Cross-Attention to Diffusion Models for Text-to-Image Synthesis
Shipeng Cao, Biao Qian, Haipeng Liu +2
Text-to-image synthesis has made significant progress, benefiting from the strong generative capabilities of diffusion models. However, these models struggle to achieve precise tex…
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…
MDE-Edit: Masked Dual-Editing for Multi-Object Image Editing via Diffusion Models
Hongyang Zhu, Haipeng Liu, Bo Fu +1
Multi-object editing aims to modify multiple objects or regions in complex scenes while preserving structural coherence. This task faces significant challenges in scenarios involvi…
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…
Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidance
Huibing Wang, Mingze Yao, Yawei Chen +5
Incomplete multi-view clustering primarily focuses on dividing unlabeled data into corresponding categories with missing instances, and has received intensive attention due to its…
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting
Haipeng Liu, Yang Wang, Biao Qian +2
Denoising diffusion probabilistic models for image inpainting aim to add the noise to the texture of image during the forward process and recover masked regions with unmasked ones…
Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis
Haoran Sun, Yang Wang, Haipeng Liu +1
Text-to-image synthesis refers to generating visual-realistic and semantically consistent images from given textual descriptions. Previous approaches generate an initial low-resolu…
Delving Globally into Texture and Structure for Image Inpainting
Haipeng Liu, Yang Wang, Meng Wang +1
Image inpainting has achieved remarkable progress and inspired abundant methods, where the critical bottleneck is identified as how to fulfill the high-frequency structure and low-…