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20242026
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cs.CV2026

SenseNova-U1.5: Towards Native Unified Visual Intelligence

Haiwen Diao, Jiahao Wang, Chenjing Ding +62

We launch SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and generates visual content within an encoder-free and VAE-free architecture.…

cs.CV2026

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application

Hongyang Du, Zongxia Li, Dawei Liu +8

3D vision has rapidly evolved, driven by increasingly diverse data representations, learning paradigms, and modeling strategies. Yet the field remains fragmented across representat…

cs.CV2026

InterSketch: An Interleaved Reasoning Model with Self-correcting Visual Sketch and Stepwise Reward

Zhiwei Ning, Wenwen Tong, Xiangli Kong +12

While vision-language models (VLMs) have exhibited multi-turn visual reasoning capabilities, their reasoning trajectories remain relatively shallow and are dominated by a text-cent…

cs.CV2026

VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation

Hongyang Du, Junjie Ye, Xiaoyan Cong +7

While recent video diffusion models (VDMs) produce visually impressive results, they fundamentally struggle to maintain 3D structural consistency, often resulting in object deforma…

cs.CV2025

CVD-STORM: Cross-View Video Diffusion with Spatial-Temporal Reconstruction Model for Autonomous Driving

Tianrui Zhang, Yichen Liu, Zilin Guo +6

Generative models have been widely applied to world modeling for environment simulation and future state prediction. With advancements in autonomous driving, there is a growing dem…

cs.CV2025

MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction

Jingcheng Ni, Yuxin Guo, Yichen Liu +3

World models that forecast environmental changes from actions are vital for autonomous driving models with strong generalization. The prevailing driving world model mainly build on…