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cs.CV2026

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…

cs.CV2025

KlingAvatar 2.0 Technical Report

Kling Team, Jialu Chen, Yikang Ding +25

Avatar video generation models have achieved remarkable progress in recent years. However, prior work exhibits limited efficiency in generating long-duration high-resolution videos…

cs.CV2025

VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization

Xinye Cao, Hongcan Guo, Jiawen Qian +6

Understanding hour-long videos with multi-modal large language models (MM-LLMs) enriches the landscape of human-centered AI applications. However, for end-to-end video understandin…

cs.CV2025

CIDER: A Causal Cure for Brand-Obsessed Text-to-Image Models

Fangjian Shen, Zifeng Liang, Chao Wang +1

Text-to-image (T2I) models exhibit a significant yet under-explored "brand bias", a tendency to generate contents featuring dominant commercial brands from generic prompts, posing…

cs.CV2025

LLIA -- Enabling Low-Latency Interactive Avatars: Real-Time Audio-Driven Portrait Video Generation with Diffusion Models

Haojie Yu, Zhaonian Wang, Yihan Pan +7

Diffusion-based models have gained wide adoption in the virtual human generation due to their outstanding expressiveness. However, their substantial computational requirements have…