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Found 8 papers, 4 papers with code
Mobile Video Diffusion
Video diffusion models have achieved impressive realism and controllability but are limited by high computational demands, restricting their use on mobile devices.
On Sampling Strategies for Spectral Model Sharding
The problem of heterogeneous clients in federated learning has recently drawn a lot of attention.
A Mutual Information Perspective on Federated Contrastive Learning
Along with the proposed SimCLR extensions, we also study how different sources of non-i. i. d.-ness can impact the performance of federated unsupervised learning through global mutual information maximization; we find that a global objective is beneficial for some sources of non-i. i. d.-ness but can be detrimental for others.
Self-improving Multiplane-to-layer Images for Novel View Synthesis
We present a new method for lightweight novel-view synthesis that generalizes to an arbitrary forward-facing scene.
Stereo Magnification with Multi-Layer Images
The second stage infers the color and the transparency values for these layers producing the final representation for novel view synthesis.
Ranked #1 on
Novel View Synthesis
on SWORD
Image Generators with Conditionally-Independent Pixel Synthesis
Existing image generator networks rely heavily on spatial convolutions and, optionally, self-attention blocks in order to gradually synthesize images in a coarse-to-fine manner.
Ranked #1 on
Image Generation
on Satellite-Landscapes 256 x 256
High-Resolution Daytime Translation Without Domain Labels
We present the high-resolution daytime translation (HiDT) model for this task.
YASENN: Explaining Neural Networks via Partitioning Activation Sequences
We introduce a novel approach to feed-forward neural network interpretation based on partitioning the space of sequences of neuron activations.
