by America Ortiz | Oct 2, 2023 | Machine Learning
Controllable Inversion of Black-Box Face Recognition Models via Diffusion We tackle the challenging task of inverting the latent space of pre-trained face recognition models without full model access (i.e. black-box setting). Our method, the identity denoising...
by America Ortiz | Oct 2, 2023 | Capture, Visual Computing
ReNeRF: Relightable Neural Radiance Fields with Nearfield Lighting In this paper, we target the application scenario of capturing high-fidelity assets for neural relighting in controlled studio conditions, but without requiring a dense light stage. Instead, we...
by America Ortiz | Aug 31, 2023 | Machine Learning
The Score-Difference Flow for Implicit Generative Modeling We present the score difference (SD) between arbitrary target and source distributions as a flow that optimally reduces the Kullback-Leibler divergence between them. July 2023 Transactions on Machine Learning...
