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Generative Models

6,381 papers

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Papers

Generative Occupancy Fields for 3D Surface-Aware Image Synthesis NIPS 2021
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring NIPS 2021
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example NIPS 2021
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective NIPS 2021
Deconvolutional Networks on Graph Data NIPS 2021
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers NIPS 2021
NeRV: Neural Representations for Videos NIPS 2021
Generative vs. Discriminative: Rethinking The Meta-Continual Learning NIPS 2021
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model NIPS 2021
SNIPS: Solving Noisy Inverse Problems Stochastically NIPS 2021
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks NIPS 2021
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References NIPS 2021
Sparse Flows: Pruning Continuous-depth Models NIPS 2021
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution NIPS 2021
NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs NIPS 2021
Learning to Compose Visual Relations NIPS 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training NIPS 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks NIPS 2021
Densely connected normalizing flows NIPS 2021
On the Stochastic Stability of Deep Markov Models NIPS 2021
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees NIPS 2021
Estimating High Order Gradients of the Data Distribution by Denoising NIPS 2021
Collapsed Variational Bounds for Bayesian Neural Networks NIPS 2021
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision NIPS 2021
Learning with Holographic Reduced Representations NIPS 2021