papers

Publications (5)

cs.CV2026

UniWorld-Design: From Pixel Generation to Layer-Native Design

Zongjian Li, Zhiyuan Yan, Chenxu Bai +9

We introduce UniWorld-Design, a framework that redefines image generation from flat pixel synthesis to structured visual composition, with semantic RGBA layers as the atomic units…

cs.CV2024

CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization

Feize Wu, Yun Pang, Junyi Zhang +5

Recent advances in text-to-image personalization have enabled high-quality and controllable image synthesis for user-provided concepts. However, existing methods still struggle to…

cs.CV2026

VGGT-Det: Mining VGGT Internal Priors for Sensor-Geometry-Free Multi-View Indoor 3D Object Detection

Yang Cao, Feize Wu, Dave Zhenyu Chen +3

Current multi-view indoor 3D object detectors rely on sensor geometry that is costly to obtain (i.e., precisely calibrated multi-view camera poses) to fuse multi-view information i…

cs.CV2024

AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation

Lianyu Pang, Jian Yin, Baoquan Zhao +4

Recent advances in text-to-image models have enabled high-quality personalized image synthesis of user-provided concepts with flexible textual control. In this work, we analyze the…

cs.CV2025

Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback

Zongjian Li, Zheyuan Liu, Qihui Zhang +10

Instruction-based image editing has achieved remarkable progress; however, models solely trained via supervised fine-tuning often overfit to annotated patterns, hindering their abi…