2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 2 cited
Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates
Alejandro Ascarate, Leo Lebrat, Rodrigo Santa Cruz +2
Variational autoencoders (VAE) encode data into lower-dimensional latent vectors before decoding those vectors back to data. Once trained, decoding a random latent vector from the…
cs.CV2024
Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields
Rongkai Ma, Leo Lebrat, Rodrigo Santa Cruz +4
Neural radiance fields (NeRFs) have exhibited potential in synthesizing high-fidelity views of 3D scenes but the standard training paradigm of NeRF presupposes an equal importance…