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20242026
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cs.CV2026

EviRover: Reinforcing Agentic Perception Beyond a Glance

Kaixuan Fan, Kaituo Feng, Tianshuo Peng +4

Visual perception is conventionally formulated as a one-shot prediction from a single glance at the image, under the assumption that the image content and the model's parametric kn…

cs.CV2026

Where a New Concept Must Enter: Entry Point Gates Cross-Task Usability in Unified Multimodal Models

Zongyang Qiu, Yihan Wu, Kaixuan Fan +2

Unified multimodal models (UMMs) are motivated by the hope that understanding and generation reinforce each other but controlled ablations repeatedly find that adding a generation…

cs.CV2026

Gen-Searcher: Reinforcing Agentic Search for Image Generation

Kaituo Feng, Manyuan Zhang, Shuang Chen +7

Recent image generation models have shown strong capabilities in generating high-fidelity and photorealistic images. However, they are fundamentally constrained by frozen internal…

cs.CV2025

OneThinker: All-in-one Reasoning Model for Image and Video

Kaituo Feng, Manyuan Zhang, Hongyu Li +11

Reinforcement learning (RL) has recently achieved remarkable success in eliciting visual reasoning within Multimodal Large Language Models (MLLMs). However, existing approaches typ…

cs.CV2025

SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward

Kaixuan Fan, Kaituo Feng, Haoming Lyu +2

Recent advances have shown success in eliciting strong reasoning abilities in multimodal large language models (MLLMs) through rule-based reinforcement learning (RL) with outcome r…

cs.CV2024

HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation

Lingxiao Li, Kaixuan Fan, Boqing Gong +1

Few-shot image generation aims to generate diverse and high-quality images for an unseen class given only a few examples in that class. A key challenge in this task is balancing ca…