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Found 4 papers, 2 papers with code
Gaussian Splatting Decoder for 3D-aware Generative Adversarial Networks
By training a decoder that maps implicit NeRF representations to explicit 3D Gaussian Splatting attributes, we can integrate the representational diversity and quality of 3D GANs into the ecosystem of 3D Gaussian Splatting for the first time.
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
In this paper, we introduce a compact scene representation organizing the parameters of 3D Gaussian Splatting (3DGS) into a 2D grid with local homogeneity, ensuring a drastic reduction in storage requirements without compromising visual quality during rendering.
Multi-view Inversion for 3D-aware Generative Adversarial Networks
Current 3D GAN inversion methods for human heads typically use only one single frontal image to reconstruct the whole 3D head model.
Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes
We construct a new panoptic scene graph dataset and a set of metrics that are designed as a benchmark for the predictive performance especially on rare predicate classes.
