10 citations · 23 across the 6 of their papers we have counts for
8 papers
Generative World Simulation with DAO and JING
XGEN Team, Guohao Cai, Haoxuan Che +16
We present a Generative World Simulation framework that couples persistent shared world state with continuous first-person audiovisual generation. The framework integrates DAO, a c…
DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior
Junjia Huang, Binbin Yang, Pengxiang Yan +6
Storyboard synthesis plays a crucial role in visual storytelling, aiming to generate coherent shot sequences that visually narrate cinematic events with consistent characters, scen…
DreamFuse: Adaptive Image Fusion with Diffusion Transformer
Junjia Huang, Pengxiang Yan, Jiyang Liu +5
Image fusion seeks to seamlessly integrate foreground objects with background scenes, producing realistic and harmonious fused images. Unlike existing methods that directly insert…
DreamLayer: Simultaneous Multi-Layer Generation via Diffusion Mode
Junjia Huang, Pengxiang Yan, Jinhang Cai +5
Text-driven image generation using diffusion models has recently gained significant attention. To enable more flexible image manipulation and editing, recent research has expanded…
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation
Jie Qin, Jie Wu, Pengxiang Yan +8
Recently, open-vocabulary learning has emerged to accomplish segmentation for arbitrary categories of text-based descriptions, which popularizes the segmentation system to more gen…
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning
Pengxiang Yan, Ziyi Wu, Mengmeng Liu +3
Recent advances in deep learning significantly boost the performance of salient object detection (SOD) at the expense of labeling larger-scale per-pixel annotations. To relieve the…
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
Pengxiang Yan, Guanbin Li, Yuan Xie +4
Deep learning-based video salient object detection has recently achieved great success with its performance significantly outperforming any other unsupervised methods. However, exi…
Instance-Level Salient Object Segmentation
Guanbin Li, Yuan Xie, Liang Lin +1
Image saliency detection has recently witnessed rapid progress due to deep convolutional neural networks. However, none of the existing methods is able to identify object instances…