15 citations · 15 across the 5 of their papers we have counts for
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cs.CV2025
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
Philippe Hansen-Estruch, David Yan, Ching-Yao Chung +7
Visual tokenization via auto-encoding empowers state-of-the-art image and video generative models by compressing pixels into a latent space. Although scaling Transformer-based gene…
cs.CV2025
Gaussian Masked Autoencoders
Jathushan Rajasegaran, Xinlei Chen, Rulilong Li +3
This paper explores Masked Autoencoders (MAE) with Gaussian Splatting. While reconstructive self-supervised learning frameworks such as MAE learns good semantic abstractions, it is…