Kavli Affiliate: Yi Zhou | First 5 Authors: Huichan Seo, Huichan Seo, , , | Summary: Generative image models produce striking visuals yet often misrepresent culture. Prior work has examined cultural bias mainly in text-to-image (T2I) systems, leaving image-to-image (I2I) editors underexplored. We bridge this gap with a unified evaluation across six countries, an 8-category/36-subcategory […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Zihao Chen, Zihao Chen, , , | Summary: Unpaired image-to-image translation has emerged as a crucial technique in medical imaging, enabling cross-modality synthesis, domain adaptation, and data augmentation without costly paired datasets. Yet, existing approaches often distort fine curvilinear structures, such as microvasculature, undermining both diagnostic reliability […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: GigaBrain Team, GigaBrain Team, , , | Summary: Training Vision-Language-Action (VLA) models for generalist robots typically requires large-scale real-world robot data, which is expensive and time-consuming to collect. The inefficiency of physical data collection severely limits the scalability, and generalization capacity of current VLA systems. To address […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Jiahan Zhang, Jiahan Zhang, , , | Summary: Generative world models (WMs) can now simulate worlds with striking visual realism, which naturally raises the question of whether they can endow embodied agents with predictive perception for decision making. Progress on this question has been limited by fragmented […]
Kavli Affiliate: Long Zhang | First 5 Authors: Yuanli Wu, Yuanli Wu, , , | Summary: We propose a rubric-guided, pseudo-labeled, and prompt-driven zero-shot video summarization framework that bridges large language models with structured semantic reasoning. A small subset of human annotations is converted into high-confidence pseudo labels and organized into dataset-adaptive rubrics defining clear […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Chen Kong, Chen Kong, , , | Summary: The Aria Gen 2 Pilot Dataset (A2PD) is an egocentric multimodal open dataset captured using the state-of-the-art Aria Gen 2 glasses. To facilitate timely access, A2PD is released incrementally with ongoing dataset enhancements. The initial release features Dia’ane, our […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Weijie Wang, Weijie Wang, , , | Summary: We present DriveGen3D, a novel framework for generating high-quality and highly controllable dynamic 3D driving scenes that addresses critical limitations in existing methodologies. Current approaches to driving scene synthesis either suffer from prohibitive computational demands for extended temporal generation, […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Hengyuan Xu, Hengyuan Xu, , , | Summary: Identity-consistent generation has become an important focus in text-to-image research, with recent models achieving notable success in producing images aligned with a reference identity. Yet, the scarcity of large-scale paired datasets containing multiple images of the same individual forces […]
Kavli Affiliate: Biao Huang | Summary:This paper presents a comprehensive review of the NTIRE 2025 Low-Light Image Enhancement (LLIE) Challenge, highlighting the proposed solutions and final outcomes. The objective of the challenge is to identify effective networks capable of producing brighter, clearer, and visually compelling images under diverse and challenging conditions. A remarkable total of […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Wenpu Li, Wenpu Li, , , | Summary: The estimation of optical flow and 6-DoF ego-motion, two fundamental tasks in 3D vision, has typically been addressed independently. For neuromorphic vision (e.g., event cameras), however, the lack of robust data association makes solving the two problems separately an […]