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← Models
Deep Learning
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Models
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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
Transcendence: Generative Models Can Outperform The Experts That Train Them
NIPS 2024
Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images
NIPS 2024
FactorSim: Generative Simulation via Factorized Representation
NIPS 2024
Learning Diffusion Priors from Observations by Expectation Maximization
NIPS 2024
Exploring DCN-like architecture for fast image generation with arbitrary resolution
NIPS 2024
Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes
NIPS 2024
Molecule Design by Latent Prompt Transformer
NIPS 2024
Towards Visual Text Design Transfer Across Languages
NIPS 2024
Constant Acceleration Flow
NIPS 2024
A Generative Model of Symmetry Transformations
NIPS 2024
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
NIPS 2024
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
NIPS 2024
Piecewise deterministic generative models
NIPS 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows
NIPS 2024
Light Unbalanced Optimal Transport
NIPS 2024
DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
NIPS 2024
Latent Intrinsics Emerge from Training to Relight
NIPS 2024
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field
NIPS 2024
MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
NIPS 2024
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
NIPS 2024
Tell What You Hear From What You See - Video to Audio Generation Through Text
NIPS 2024
Neural Experts: Mixture of Experts for Implicit Neural Representations
NIPS 2024
Learning to Decouple the Lights for 3D Face Texture Modeling
NIPS 2024
Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
NIPS 2024
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences
NIPS 2024
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