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cs.CV2025

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge

Xuan Shen, Weize Ma, Yufa Zhou +11

Auto-regressive (AR) models, initially successful in language generation, have recently shown promise in visual generation tasks due to their superior sampling efficiency. Unlike i…

cs.CV2025

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Xuan Shen, Chenxia Han, Yufa Zhou +7

Diffusion transformer-based video generation models (DiTs) have recently attracted widespread attention for their excellent generation quality. However, their computational cost re…

cs.CV2025

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge

Xuan Shen, Weize Ma, Jing Liu +9

Monocular Depth Estimation (MDE) has emerged as a pivotal task in computer vision, supporting numerous real-world applications. However, deploying accurate depth estimation models…

cs.CV2025

METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling

Bingxuan Li, Yiwei Wang, Jiuxiang Gu +2

Chart generation aims to generate code to produce charts satisfying the desired visual properties, e.g., texts, layout, color, and type. It has great potential to empower the autom…

cs.CL2025

Efficient Reasoning with Hidden Thinking

Xuan Shen, Yizhou Wang, Yufa Zhou +4

Chain-of-Thought (CoT) reasoning has become a powerful framework for improving complex problem-solving capabilities in Multimodal Large Language Models (MLLMs). However, the verbos…