7 citations · 7 across the 7 of their papers we have counts for
10 papers
VLANeXt Family: A Systematic Study of VLA Models from Core Recipes to Emerging Paradigms
Xiao-Ming Wu, Bin Fan, Kang Liao +6
Following the rise of large foundation models, Vision-Language-Action models (VLAs) emerged, leveraging strong visual and language understanding from Vision-Language Models for gen…
Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning
Guoqiang Liang, Jianyi Wang, Zhonghua Wu +2
Image Quality Assessment (IQA) is a long-standing problem in computer vision. Previous methods typically focus on predicting numerical scores without explanation or providing low-l…
Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation
Kang Liao, Size Wu, Zhonghua Wu +6
Camera-centric understanding and generation are two cornerstones of spatial intelligence, yet they are typically studied in isolation. We present Puffin, a unified camera-centric m…
DHAGrasp: Synthesizing Affordance-Aware Dual-Hand Grasps with Text Instructions
Quanzhou Li, Zhonghua Wu, Jingbo Wang +2
Learning to generate dual-hand grasps that respect object semantics is essential for robust hand-object interaction but remains largely underexplored due to dataset scarcity. Exist…
Next Visual Granularity Generation
Yikai Wang, Zhouxia Wang, Zhonghua Wu +3
We propose a novel approach to image generation by decomposing an image into a structured sequence, where each element in the sequence shares the same spatial resolution but differ…
SA-LUT: Spatial Adaptive 4D Look-Up Table for Photorealistic Style Transfer
Zerui Gong, Zhonghua Wu, Qingyi Tao +2
Photorealistic style transfer (PST) enables real-world color grading by adapting reference image colors while preserving content structure. Existing methods mainly follow either ap…
OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation
Size Wu, Zhonghua Wu, Zerui Gong +5
In this report, we present OpenUni, a simple, lightweight, and fully open-source baseline for unifying multimodal understanding and generation. Inspired by prevailing practices in…
Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
Size Wu, Wenwei Zhang, Lumin Xu +6
Unifying visual understanding and generation within a single multimodal framework remains a significant challenge, as the two inherently heterogeneous tasks require representations…
MOWA: Multiple-in-One Image Warping Model
Kang Liao, Zongsheng Yue, Zhonghua Wu +1
While recent image warping approaches achieved remarkable success on existing benchmarks, they still require training separate models for each specific task and cannot generalize w…
Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
Hui EnPang, Zhongang Cai, Lei Yang +4
Whole-body pose and shape estimation aims to jointly predict different behaviors (e.g., pose, hand gesture, facial expression) of the entire human body from a monocular image. Exis…