3 accepted papers
Unrestricted adversarial examples(UAEs) have posed greater threats to deep neural networks(DNNs) than perturbation-based adversarial examples(AEs) because they can make extensive changes to images without being restricted in a fixed norm perturbation budget. Although current diffusion-based methods…
Current text-to-3D generation methods that rely solely on 2D diffusion supervision often suffer from incorrect geometry (e.g. geometric collapse) and unrealistic appearance (e.g. Janus issues) due to the inherent ambiguity in 2D lifting methods for scene representation optimization, which also leads…
Semantic Scene Completion (SSC) aims to reconstruct the entire 3D scene in terms of both occupancy and semantics, serving as a fundamental task for autonomous driving and robotic systems. Camera-based methods have seen significant advancements due to their low cost and rich visual cues. However, pre