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20242026
most citedInfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation

2 citations · 2 across the 11 of their papers we have counts for

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cs.CL2026

Manacá-1B-Instruct-2: Reproducible Safety Alignment for a Native Brazilian-Portuguese LLM. Negative DPO Results, a Controlled Composition Scan, and a Silent Failure Mode of the LLM Judge

Bruno Leonardo Santos Menezes, Carlos Leonardo Souza Cardoso, Fabio André Machado Porto

Brazilian Portuguese remains underserved by open-source language models, and the few that are safety-aligned rarely document what did not work or validate comparisons with statisti…

cs.CV2026

HLA-WM: Hybrid Linear Attention for Long-Horizon Video World Models

Zhuokun Chen, Feng Chen, Xi Lin +4

Long-horizon video world models require persistent memory to preserve scene consistency over extended rollouts. Softmax attention retains the full generation history through a grow…

cs.CV2026

ZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes

Mingda Lin, Weijie Wang, Zeyu Zhang +7

Compact token sequences are essential for efficient 3D generation. However, existing 3D tokenizers typically organize latent representations either over spatial regions or as fixed…

cs.CV2026

Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion

Bowen Cui, Weijie Wang, Zeyu Zhang +7

While text-to-3D generation has advanced rapidly, achieving high geometric fidelity at low inference cost remains challenging. Existing text-to-3D methods either decode discrete sh…

cs.CV2026

Evidence-Driven Dynamic Visual Selector for Efficient Long Video Understanding

Bo Zhang, Wenxin Wang, Feng Chen +4

Recent advancements in MLLM-based long-form video understanding have mitigated inference-time computational cost and limited context lengths by selecting query-relevant frames. How…

cs.CV2026

Agentic Collaborative Cognition for Zero-Shot 3D Understanding

Wenxin Wang, Bo Zhang, Feng Chen +4

Recent advancements have explored agentic zero-shot 3D understanding by reformulating it as video keyframe understanding with Multimodal Large Language Models (MLLMs). However, exi…

cs.CV2026

PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models

Xianghui Wang, Feng Chen, Wenbo Zhang +4

Vision-Language-Action (VLA) models provide a unified paradigm for robotic manipulation, yet their real-world deployment is often bottlenecked by execution efficiency. While existi…

cs.CV2026

Latent Spatial Memory for Video World Models

Weijie Wang, Haoyu Zhao, Yifan Yang +7

Video world models that maintain 3D spatial consistency across generated frames typically rely on explicit point cloud memory constructed in RGB space. This design is both computat…

cs.CV2026

Training-free Motion Factorization for Compositional Video Generation

Zixuan Wang, Ziqin Zhou, Feng Chen +4

Compositional video generation aims to synthesize multiple instances with diverse appearance and motion. However, current approaches mainly focus on binding semantics, neglecting t…

cs.CV2026

LiveWorld: Simulating Out-of-Sight Dynamics in Generative Video World Models

Zicheng Duan, Jiatong Xia, Zeyu Zhang +7

Recent generative video world models aim to simulate visual environment evolution, allowing an observer to interactively explore the scene via camera control. However, they implici…

cs.CV2026

CoV: Chain-of-View Prompting for Spatial Reasoning

Haoyu Zhao, Akide Liu, Zeyu Zhang +5

Embodied question answering (EQA) in 3D environments often requires collecting context that is distributed across multiple viewpoints and partially occluded. However, most recent v…