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cs.CV2026

RealWeather: Realistic and Scene-Faithful Weather Translation with Driving World Models

Yuwei Ning, Liangzhi Wang, Yi Xiao +5

Realistic weather translation is valuable for developing and evaluating autonomous driving systems, yet collecting paired videos of the same scenes under different weather conditio…

cs.CV2026

RealityBridge: Bridging Editable 3D Gaussian Splatting Driving Simulations and Real-World Videos

Zhenhua Wu, Yun Pang, Mingkun Chang +4

Long-tail hazardous scenarios are essential for safety-oriented autonomous driving, yet they are difficult to collect at scale. Editable 3D Gaussian Splatting (3DGS) simulation off…

cs.CV2026

Structure-Aware Fine-Grained Gaussian Splatting for Expressive Avatar Reconstruction

Yuze Su, Hongsong Wang, Jie Gui +1

Reconstructing photorealistic and topology-aware human avatars from monocular videos remains a significant challenge in the fields of computer vision and graphics. While existing 3…

cs.CV2026

Coordinate-Based Dual-Constrained Autoregressive Motion Generation

Kang Ding, Hongsong Wang, Jie Gui +1

Text-to-motion generation has attracted increasing attention in the research community recently, with potential applications in animation, virtual reality, robotics, and human-comp…

cs.CV2026

MotionRFT: Unified Reinforcement Fine-Tuning for Text-to-Motion Generation

Xiaofeng Tan, Wanjiang Weng, Hongsong Wang +3

Text-to-motion generation has advanced with diffusion- and flow-based generative models, yet supervised pretraining remains insufficient to align models with high-level objectives…

cs.CV2025

Fast Inference of Visual Autoregressive Model with Adjacency-Adaptive Dynamical Draft Trees

Haodong Lei, Hongsong Wang, Xin Geng +2

Autoregressive (AR) image models achieve diffusion-level quality but suffer from sequential inference, requiring approximately 2,000 steps for a 576x576 image. Speculative decoding…