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Found 6 papers, 2 papers with code
Rasterized Edge Gradients: Handling Discontinuities Differentiably
Computing the gradients of a rendering process is paramount for diverse applications in computer vision and graphics.
URHand: Universal Relightable Hands
To simplify the personalization process while retaining photorealism, we build a powerful universal relightable prior based on neural relighting from multi-view images of hands captured in a light stage with hundreds of identities.
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space
To mitigate this asymmetry, we introduce a prior model that is conditioned on the runtime inputs and tie this prior space to the 3D face model via a normalizing flow in the latent space.
Adversarial Latent Autoencoders
We designed two autoencoders: one based on a MLP encoder, and another based on a StyleGAN generator, which we call StyleALAE.
Ranked #5 on
Image Generation
on CelebA 256x256
(FID metric)
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
We assume that training data is available to describe only the inlier distribution.
syGlass: Interactive Exploration of Multidimensional Images Using Virtual Reality Head-mounted Displays
The quest for deeper understanding of biological systems has driven the acquisition of increasingly larger multidimensional image datasets.
