AI RESEARCH
RF4D:Neural Radar Fields for Novel View Synthesis in Outdoor Dynamic Scenes
arXiv CS.CV
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ArXi:2505.20967v3 Announce Type: replace Neural fields (NFs) have achieved remarkable success in scene reconstruction and novel view synthesis. However, existing NF approaches that rely on RGB or LiDAR inputs often struggle under adverse weather conditions, limiting their robustness in real-world outdoor environments such as autonomous driving. In contrast, millimeter-wave radar is inherently resilient to environmental variations, yet its integration with NFs remains largely underexplored.