1 citations · 1 across the 6 of their papers we have counts for
6 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…
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…