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Found 6 papers, 2 papers with code
Zero-shot Point Cloud Completion Via 2D Priors
3D point cloud completion is designed to recover complete shapes from partially observed point clouds.
Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering
3D Gaussians have recently emerged as a highly efficient representation for 3D reconstruction and rendering.
Animate124: Animating One Image to 4D Dynamic Scene
We introduce Animate124 (Animate-one-image-to-4D), the first work to animate a single in-the-wild image into 3D video through textual motion descriptions, an underexplored problem with significant applications.
OD-NeRF: Efficient Training of On-the-Fly Dynamic Neural Radiance Fields
Dynamic neural radiance fields (dynamic NeRFs) have demonstrated impressive results in novel view synthesis on 3D dynamic scenes.
NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects
We evaluate our model based on the novel view synthesis quality with a self-collected dataset of different moving specular objects in realistic environments.
Adaptive Modeling Against Adversarial Attacks
Adversarial training, the process of training a deep learning model with adversarial data, is one of the most successful adversarial defense methods for deep learning models.
