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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
L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing
CVPR 2021
Practical Single-Image Super-Resolution Using Look-Up Table
CVPR 2021
Exploiting Aliasing for Manga Restoration
CVPR 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
CVPR 2021
Spatially-Invariant Style-Codes Controlled Makeup Transfer
CVPR 2021
IMAGINE: Image Synthesis by Image-Guided Model Inversion
CVPR 2021
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring
CVPR 2021
Semantic Palette: Guiding Scene Generation With Class Proportions
CVPR 2021
Generative Hierarchical Features From Synthesizing Images
CVPR 2021
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution
CVPR 2021
IBRNet: Learning Multi-View Image-Based Rendering
CVPR 2021
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
EACL 2021
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
EACL 2021
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
EACL 2021
Generative Text Modeling through Short Run Inference
EACL 2021
Adaptive Fusion Techniques for Multimodal Data
EACL 2021
Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training
EACL 2021
Towards Human-Centered Summarization: A Case Study on Financial News
EACL 2021
Truth-Conditional Captions for Time Series Data
EMNLP 2021
Injecting Entity Types into Entity-Guided Text Generation
EMNLP 2021
Scalable Font Reconstruction with Dual Latent Manifolds
EMNLP 2021
Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot
EMNLP 2021
Sentence-Permuted Paragraph Generation
EMNLP 2021
Generative Context Pair Selection for Multi-hop Question Answering
EMNLP 2021
Synthetic Textual Features for the Large-Scale Detection of Basic-level Categories in English and Mandarin
EMNLP 2021
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