most citedSridBench: Benchmark of Scientific Research Illustration Drawing of Image Generation Model

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cs.CV2026

LiFi: LiDAR Generation from Multi-View Images via Geometric and Semantic Collaborative Guidance

Sizhuo Zhou, Xiaosong Jia, Fanrui Zhang +10

Generating LiDAR point clouds from multi-view camera images is a valuable task with applications in controllable data synthesis, cross-modal simulation and various perception tasks…

cs.CV2026

WorldMark: A Unified Benchmark Suite for Interactive Video World Models

Xiaojie Xu, Zhengyuan Lin, Kang He +5

Unlike text- or image-driven video generation, an interactive world model is driven by actions: the user acts, and the world responds. Two obstacles stand in the way of fair and co…

cs.CV2025

LaGen: Towards Autoregressive LiDAR Scene Generation

Sizhuo Zhou, Xiaosong Jia, Fanrui Zhang +7

Generative world models for autonomous driving (AD) are of great value in applications such as data augmentation, closed-loop simulation, and safety-critical scenario evaluation. U…

cs.CV2025

From Pixels to Paths: A Multi-Agent Framework for Editable Scientific Illustration

Jianwen Sun, Fanrui Zhang, Yukang Feng +6

Scientific illustrations demand both high information density and post-editability. However, current generative models have two major limitations: Frist, image generation models ou…

cs.CV2025

Sekai: A Video Dataset towards World Exploration

Zhen Li, Chuanhao Li, Xiaofeng Mao +17

Video generation techniques have made remarkable progress, promising to be the foundation of interactive world exploration. However, existing video generation datasets are not well…

cs.CV2025

A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation

Yukang Feng, Jianwen Sun, Chuanhao Li +8

Recent advancements in Large Multimodal Models (LMMs) have significantly improved multimodal understanding and generation. However, these models still struggle to generate tightly…

cs.CV2025★ 1 cited

SridBench: Benchmark of Scientific Research Illustration Drawing of Image Generation Model

Yifan Chang, Yukang Feng, Jianwen Sun +4

Recent years have seen rapid advances in AI-driven image generation. Early diffusion models emphasized perceptual quality, while newer multimodal models like GPT-4o-image integrate…

cs.CV2025

IA-T2I: Internet-Augmented Text-to-Image Generation

Chuanhao Li, Jianwen Sun, Yukang Feng +3

Current text-to-image (T2I) generation models achieve promising results, but they fail on the scenarios where the knowledge implied in the text prompt is uncertain. For example, a…

cs.CV2025

MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models

Pengfei Zhou, Fanrui Zhang, Xiaopeng Peng +17

Multimodal reasoning, which integrates language and visual cues into problem solving and decision making, is a fundamental aspect of human intelligence and a crucial step toward ar…

cs.CV2025

ARMOR: Empowering Multimodal Understanding Model with Interleaved Multimodal Generation Capability

Jianwen Sun, Yukang Feng, Chuanhao Li +7

Unified multimodal understanding and generation have recently received much attention in the area of vision and language. Existing UniMs are designed to simultaneously learn both m…