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← Learning Types
Deep Learning
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Learning Types
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Generative Models
1275 directly classified papers
Papers per year
2009: 1
2012: 2
2013: 1
2015: 6
2016: 8
2017: 38
2018: 65
2019: 129
2020: 140
2021: 137
2022: 157
2023: 163
2024: 265
2025: 162
2026: 1
Papers
CosmicMan: A Text-to-Image Foundation Model for Humans
CVPR 2024
Correcting Diffusion Generation through Resampling
CVPR 2024
ControlMath: Controllable Data Generation Promotes Math Generalist Models
EMNLP 2024
Breathing Life Into Sketches Using Text-to-Video Priors
CVPR 2024
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets
EMNLP 2024
Learning Diffusion Texture Priors for Image Restoration
CVPR 2024
Z*: Zero-shot Style Transfer via Attention Reweighting
CVPR 2024
Learning Continuous 3D Words for Text-to-Image Generation
CVPR 2024
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation
CVPR 2024
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior
CVPR 2024
PostMark: A Robust Blackbox Watermark for Large Language Models
EMNLP 2024
StyLitGAN: Image-Based Relighting via Latent Control
CVPR 2024
One-Shot Structure-Aware Stylized Image Synthesis
CVPR 2024
PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding
CVPR 2024
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models
CVPR 2024
FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
CVPR 2024
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models
EMNLP 2024
Optimizing Diffusion Noise Can Serve As Universal Motion Priors
CVPR 2024
Evaluating Diversity in Automatic Poetry Generation
EMNLP 2024
Motion Diversification Networks
CVPR 2024
Global Learning with Triplet Relations in Abstractive Summarization
EMNLP 2024
Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
CVPR 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
NIPS 2024
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
NIPS 2024
Near-Optimality of Contrastive Divergence Algorithms
NIPS 2024
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