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Found 6 papers, 3 papers with code
Preconditioned Spectral Descent for Deep Learning
These challenges include, but are not limited to, the non-convexity of learning objectives and estimating the quantities needed for optimization algorithms, such as gradients.
Deep Feature Factorization For Concept Discovery
We propose Deep Feature Factorization (DFF), a method capable of localizing similar semantic concepts within an image or a set of images.
Ranked #6 on
Unsupervised Human Pose Estimation
on Tai-Chi-HD
Unsupervised Facial Landmark Detection
Unsupervised Human Pose Estimation
+1
Detecting Memorization in ReLU Networks
We propose a new notion of `non-linearity' of a network layer with respect to an input batch that is based on its proximity to a linear system, which is reflected in the non-negative rank of the activation matrix.
Editing in Style: Uncovering the Local Semantics of GANs
Focusing on StyleGAN, we introduce a simple and effective method for making local, semantically-aware edits to a target output image.
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions
Pose-conditioned convolutional generative models struggle with high-quality 3D-consistent image generation from single-view datasets, due to their lack of sufficient 3D priors.
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes
We introduce InseRF, a novel method for generative object insertion in the NeRF reconstructions of 3D scenes.
