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20242026
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cs.CV2026

MetaView: Monocular Novel View Synthesis with Scale-Aware Implicit Geometry Priors

Yufei Cai, Xuesong Niu, Hao Lu +3

Current visual generation models are capable of producing high-quality content, yet they lack a coherent perception of the spatial structure. Existing generative novel view synthes…

cs.CV2026

Motion Forcing: A Decoupled Framework for Robust Video Generation in Motion Dynamics

Tianshuo Xu, Zhifei Chen, Leyi Wu +2

The ultimate goal of video generation is to satisfy a fundamental trilemma: achieving high visual quality, maintaining rigorous physical consistency, and enabling precise controlla…

cs.CV2026

CamPilot: Improving Camera Control in Video Diffusion Model with Efficient Camera Reward Feedback

Wenhang Ge, Guibao Shen, Jiawei Feng +5

Recent advances in camera-controlled video diffusion models have significantly improved video-camera alignment. However, the camera controllability still remains limited. In this w…

cs.CV2025

PolarGuide-GSDR: 3D Gaussian Splatting Driven by Polarization Priors and Deferred Reflection for Real-World Reflective Scenes

Derui Shan, Qian Qiao, Hao Lu +2

Polarization-aware Neural Radiance Fields (NeRF) enable novel view synthesis of specular-reflection scenes but face challenges in slow training, inefficient rendering, and strong d…

cs.CV2025

4D Driving Scene Generation With Stereo Forcing

Hao Lu, Zhuang Ma, Guangfeng Jiang +6

Current generative models struggle to synthesize dynamic 4D driving scenes that simultaneously support temporal extrapolation and spatial novel view synthesis (NVS) without per-sce…

cs.CV2025

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models

Yifan Liu, Keyu Fan, Weihao Yu +3

Recent advances in generalizable 3D Gaussian Splatting have demonstrated promising results in real-time high-fidelity rendering without per-scene optimization, yet existing approac…

cs.CV2024

DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving

Hao Lu, Tianshuo Xu, Wenzhao Zheng +6

Photorealistic 4D reconstruction of street scenes is essential for developing real-world simulators in autonomous driving. However, most existing methods perform this task offline…

cs.CV2024

Motion Dreamer: Boundary Conditional Motion Reasoning for Physically Coherent Video Generation

Tianshuo Xu, Zhifei Chen, Leyi Wu +5

Recent advances in video generation have shown promise for generating future scenarios, critical for planning and control in autonomous driving and embodied intelligence. However,…