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20242026
most citedAMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving

1 citations · 1 across the 11 of their papers we have counts for

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cs.CV2026

Drive3R: Block-wise Streaming Geometric Foundation Models for Autonomous Driving

Tianyi Yang, Haojun Yang, Jipeng Xiao +4

High-fidelity closed-loop simulation for autonomous driving increasingly relies on dense multi-view 3D reconstruction. While recent feed-forward geometric foundation models have re…

cs.CV2026

Spatial Memory Intelligence: Endowing World Models with Understanding-Driven Long-Term Memory

Ying Yang, Guiyu Zhang, Lianghua Huang +5

Long-video generation and world models have shown strong potential for interactive entertainment and embodied simulation by predicting future observations conditioned on user actio…

cs.CV2026

SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models

Junchao Huang, Guian Fang, Shengju Qian +15

We introduce SolarWM, a fully open foundation for building interactive video world models from data preparation through long-horizon inference. Training across heterogeneous data s…

cs.CV2026

OptiGeo: Efficient Monocular Geometry for Embodied Perception in Optically Challenging Scenes

Muxin Liu, Tianbo Liu, Jing Xia +7

Monocular depth estimation has achieved strong open-domain generalization, yet reliable robotic deployment remains difficult in transparent, reflective, and specular environments,…

cs.CV2026

FoundationGeo: Learning Spatial Pixel-Wise Fields for Monocular Metric Geometry

Muxin Liu, Xiaoyang Lyu, Tianhe Ren +7

We present FoundationGeo, a two-stage framework that explicitly bridges relative and metric prediction via spatial calibration and principled data design. Stage 1 learns a high-fid…

cs.CV2026

DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving

Chen Shi, Jinrui Xu, Shaoshuai Shi +3

Pretrained foundation models have become an important basis for end-to-end autonomous driving. In contrast to vision-language models pretrained primarily on static image-text pairs…

cs.CV2026

Stabilizing Streaming Video Geometry via Dynamic Feature Normalization

Xiaoyang Lyu, Muxin Liu, Xiaoshan Wu +5

Consistent 3D geometry estimation from streaming RGB input is crucial for real-world applications such as autonomous driving, embodied AI, and large-scale reconstruction. While mod…

cs.CV2026

LIVE: Long-horizon Interactive Video World Modeling

Junchao Huang, Ziyang Ye, Xinting Hu +5

Autoregressive video world models predict future visual observations conditioned on actions. While effective over short horizons, these models often struggle with long-horizon gene…