conftrace
_
Papers
Trends
Conferences
Explore
Authors
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Models
Deep Learning
›
Models
›
Generative Models
6,381 papers
Papers per year
2003: 2
2004: 1
2006: 3
2007: 3
2008: 6
2009: 5
2010: 11
2011: 14
2012: 17
2013: 23
2014: 17
2015: 34
2016: 64
2017: 150
2018: 286
2019: 566
2020: 626
2021: 827
2022: 730
2023: 1027
2024: 897
2025: 824
2026: 248
Papers
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
AAAI 2023
Can We Find Strong Lottery Tickets in Generative Models?
AAAI 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
AAAI 2023
FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping
AAAI 2023
Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild
AAAI 2023
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video
AAAI 2023
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories
AAAI 2023
Improving Scene Text Image Super-resolution via Dual Prior Modulation Network
AAAI 2023
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
AAAI 2023
Continuous Trajectory Generation Based on Two-Stage GAN
AAAI 2023
Jointly Imputing Multi-View Data with Optimal Transport
AAAI 2023
Knowledge Graph Embedding by Normalizing Flows
AAAI 2023
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data
AAAI 2023
Detecting Multivariate Time Series Anomalies with Zero Known Label
AAAI 2023
Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions
AAAI 2023
MDM: Molecular Diffusion Model for 3D Molecule Generation
AAAI 2023
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning
AAAI 2023
GenéLive! Generating Rhythm Actions in Love Live!
AAAI 2023
SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines
AAAI 2023
Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines
AAAI 2023
Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows
AAAI 2023
Causal Inference with Conditional Instruments Using Deep Generative Models
AAAI 2023
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
AAAI 2023
Demystifying Randomly Initialized Networks for Evaluating Generative Models
AAAI 2023
Combating Mode Collapse via Offline Manifold Entropy Estimation
AAAI 2023
<
1
…
85
86
87
…
256
>