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cs.CV2026

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models

Lingyao Li, Runlong Yu, Qikai Hu +4

Image geolocalization, the task of identifying the geographic location depicted in an image, is important for applications in crisis response, digital forensics, and location-based…

cs.CV2026

OODBench: Out-of-Distribution Benchmark for Large Vision-Language Models

Ling Lin, Yang Bai, Heng Su +5

Existing Visual-Language Models (VLMs) have achieved significant progress by being trained on massive-scale datasets, typically under the assumption that data are independent and i…

cs.CV2025

Alchemist: Unlocking Efficiency in Text-to-Image Model Training via Meta-Gradient Data Selection

Kaixin Ding, Yang Zhou, Xi Chen +5

Recent advances in Text-to-Image (T2I) generative models, such as Imagen, Stable Diffusion, and FLUX, have led to remarkable improvements in visual quality. However, their performa…

cs.CV2025

RELIC: Interactive Video World Model with Long-Horizon Memory

Yicong Hong, Yiqun Mei, Chongjian Ge +11

A truly interactive world model requires three key ingredients: real-time long-horizon streaming, consistent spatial memory, and precise user control. However, most existing approa…

cs.CV2025

MultiCOIN: Multi-Modal COntrollable Video INbetweening

Maham Tanveer, Yang Zhou, Simon Niklaus +4

Video inbetweening creates smooth and natural transitions between two image frames, making it an indispensable tool for video editing and long-form video synthesis. Existing works…

cs.CV2025

MotionBridge: Dynamic Video Inbetweening with Flexible Controls

Maham Tanveer, Yang Zhou, Simon Niklaus +4

By generating plausible and smooth transitions between two image frames, video inbetweening is an essential tool for video editing and long video synthesis. Traditional works lack…