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cs.CV2026

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding

Hao Li, Han Fang, Zixin Pan +8

Although multimodal large language models (MLLMs) have achieved remarkable progress, understanding 3D spatial relationships from 2D images remains a critical challenge. Existing me…

cs.CV2026

Mixture-of-Thought-Tokens: Unifying Perception and Reasoning for Free-form Multimodal Grounding

Tianyi Gao, Han Fang, Tianyi Ding +9

Multimodal Large Language Models have made great progress in grounding tasks, yet existing methods still struggle to unify precise localization and complex reasoning. For one thing…

cs.CV2026

DrivingDepth: Sparse-Prompted Pixel-wise Scale Correction for Driving Depth Estimation

Chi Huang, Wenhao Zhang, Hang Yin +5

Dense depth estimation for autonomous driving faces a geometry-scale conflict: depth foundation models deliver pixel-aligned dense visual geometry without reliable metric scale, wh…

cs.CV2026

Monte Carlo Energy Aggregation for Mobile 3D Gaussian Splatting

Xiaobiao Du, YuAn Wang, Hao Li +3

Recent advances in 3D Gaussian Splatting have demonstrated unprecedented success in novel view synthesis. However, the substantial inference and storage overhead driven by high-ord…

cs.CV2025

Envision: Embodied Visual Planning via Goal-Imagery Video Diffusion

Yuming Gu, Yizhi Wang, Yining Hong +9

Embodied visual planning aims to enable manipulation tasks by imagining how a scene evolves toward a desired goal and using the imagined trajectories to guide actions. Video diffus…

cs.CV2025

RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension

Tianyi Gao, Hao Li, Han Fang +8

Referring Expression Comprehension (REC) is a vision-language task that localizes a specific image region based on a textual description. Existing REC benchmarks primarily evaluate…

cs.CV2025

FaithFusion: Harmonizing Reconstruction and Generation via Pixel-wise Information Gain

YuAn Wang, Xiaofan Li, Chi Huang +5

In controllable driving-scene reconstruction and 3D scene generation, maintaining geometric fidelity while synthesizing visually plausible appearance under large viewpoint shifts i…

cs.CV2025

Any4D: Open-Prompt 4D Generation from Natural Language and Images

Hao Li, Qiao Sun

While video-generation-based embodied world models have gained increasing attention, their reliance on large-scale embodied interaction data remains a key bottleneck. The scarcity,…

cs.CV2025

Character Mixing for Video Generation

Tingting Liao, Chongjian Ge, Guangyi Liu +2

Imagine Mr. Bean stepping into Tom and Jerry--can we generate videos where characters interact naturally across different worlds? We study inter-character interaction in text-to-vi…

cs.CV2025

MatDecompSDF: High-Fidelity 3D Shape and PBR Material Decomposition from Multi-View Images

Chengyu Wang, Isabella Bennett, Henry Scott +4

We present MatDecompSDF, a novel framework for recovering high-fidelity 3D shapes and decomposing their physically-based material properties from multi-view images. The core challe…

cs.CV2025

Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing

Xiangyu Zhao, Peiyuan Zhang, Kexian Tang +10

Large Multi-modality Models (LMMs) have made significant progress in visual understanding and generation, but they still face challenges in General Visual Editing, particularly in…

cs.CV2025

Unified Reward Model for Multimodal Understanding and Generation

Yibin Wang, Yuhang Zang, Hao Li +2

Recent advances in human preference alignment have significantly improved multimodal generation and understanding. A key approach is to train reward models that provide supervision…

cs.CV2024

UniPLV: Towards Label-Efficient Open-World 3D Scene Understanding by Regional Visual Language Supervision

Yuru Wang, Pei Liu, Songtao Wang +7

Open-world 3D scene understanding is a critical challenge that involves recognizing and distinguishing diverse objects and categories from 3D data, such as point clouds, without re…