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20232026
most citedStep-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

1 citations · 3 across the 12 of their papers we have counts for

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Showing 2025 · cs.CVShow all

8 papers · 2 filters

cs.CV2025

Incremental Human-Object Interaction Detection with Invariant Relation Representation Learning

Yana Wei, Zeen Chi, Chongyu Wang +4

In open-world environments, human-object interactions (HOIs) evolve continuously, challenging conventional closed-world HOI detection models. Inspired by humans' ability to progres…

cs.CV2025

World-in-World: World Models in a Closed-Loop World

Jiahan Zhang, Muqing Jiang, Nanru Dai +14

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 pe…

cs.CV2025

NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

NextStep Team, Chunrui Han, Guopeng Li +47

Prevailing autoregressive (AR) models for text-to-image generation either rely on heavy, computationally-intensive diffusion models to process continuous image tokens, or employ ve…

cs.CV2025

Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning

Yana Wei, Liang Zhao, Jianjian Sun +15

The remarkable reasoning capability of large language models (LLMs) stems from cognitive behaviors that emerge through reinforcement with verifiable rewards. This work investigates…

cs.CV2025

Perception-R1: Pioneering Perception Policy with Reinforcement Learning

En Yu, Kangheng Lin, Liang Zhao +11

Inspired by the success of DeepSeek-R1, we explore the potential of rule-based reinforcement learning (RL) in MLLM post-training for perception policy learning. While promising, ou…

cs.CV2025

Perception in Reflection

Yana Wei, Liang Zhao, Kangheng Lin +8

We present a perception in reflection paradigm designed to transcend the limitations of current large vision-language models (LVLMs), which are expected yet often fail to achieve p…