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Conditional Image Generation with PixelCNN Decoders

16 June 2016

Papers citing "Conditional Image Generation with PixelCNN Decoders"

50 / 60 papers shown

Title
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking Chen-Hao Chao Wei-Fang Sun Hanwen Liang Chun-Yi Lee Rahul G. Krishnan DiffM 391 0 0 24 May 2025
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities Wei Wei Jintao Guo Shanshan Zhao Minghao Fu Lunhao Duan Guo-Hua Wang Qing-Guo Chen Zhao Xu Weihua Luo Kaifu Zhang DiffM 290 1 0 05 May 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 190 2 0 24 Mar 2025
FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset Shuhe Wang Xiaoya Li Jiwei Li G. Wang Xiaofei Sun ... Han Qiu Mo Yu Shengjie Shen Tianwei Zhang Eduard H. Hovy VLM 122 1 0 10 Mar 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation Sucheng Ren Qihang Yu Ju He Xiaohui Shen Alan Yuille Liang-Chieh Chen VGen 194 11 0 27 Feb 2025
Large Language Model for Lossless Image Compression with Visual Prompts Junhao Du Chuqin Zhou Ning Cao Gang Chen Yunuo Chen Zhengxue Cheng Li Song Guo Lu Wenjun Zhang VLM 88 2 0 22 Feb 2025
Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Shuhe Wang Xiaoya Li Xiaofei Sun G. Wang Tianwei Zhang Jiwei Li Eduard H. Hovy 111 1 0 28 Jan 2025
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan 145 4 0 20 Jan 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Zehao Wang Arnaud Doucet Michalis K. Titsias DiffM 189 105 0 17 Jan 2025
Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens Dongwon Kim Ju He Qihang Yu Chenglin Yang Xiaohui Shen Suha Kwak Liang-Chieh Chen VLM 124 11 0 13 Jan 2025
AKiRa: Augmentation Kit on Rays for optical video generation Xi Wang Robin Courant Marc Christie Vicky Kalogeiton VGen 198 4 0 31 Dec 2024
Parallelized Autoregressive Visual Generation Yanjie Wang Shuhuai Ren Zhijie Lin Yujin Han Haoyuan Guo Zhenheng Yang Difan Zou Jiashi Feng Xihui Liu VGen 172 17 0 19 Dec 2024
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer Hong Chen Zihan Wang Xianrui Li Xingwu Sun Fangyi Chen Jiang Liu Jiadong Wang Bhiksha Raj Zicheng Liu Emad Barsoum VLM 249 10 0 14 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 271 1 0 25 Nov 2024
ControlAR: Controllable Image Generation with Autoregressive Models Zongming Li Tianheng Cheng Shoufa Chen Peize Sun Haocheng Shen Longjin Ran Xiaoxin Chen Wenyu Liu Xinggang Wang DiffM 211 19 0 03 Oct 2024
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding Yao Teng Han Shi Xian Liu Xuefei Ning Guohao Dai Yu Wang Zhenguo Li Xihui Liu 103 16 0 02 Oct 2024
Achieving Human Level Competitive Robot Table Tennis David B. DÁmbrosio Saminda Abeyruwan L. Graesser Atil Iscen H. B. Amor ... Vikas Sindhwani Vincent Vanhoucke Grace Vesom P. Xu Pannag R Sanketi 160 15 0 07 Aug 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 109 9 0 06 Aug 2024
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs D. Yaldiz Yavuz Faruk Bakman Baturalp Buyukates Chenyang Tao Anil Ramakrishna Dimitrios Dimitriadis Jieyu Zhao Salman Avestimehr 134 8 0 17 Jun 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space Nabarun Goswami Yusuke Mukuta Tatsuya Harada 102 4 0 18 Mar 2024
Large Convolutional Model Tuning via Filter Subspace Wei Chen Zichen Miao Qiang Qiu 219 4 0 01 Mar 2024
Visual Concept-driven Image Generation with Text-to-Image Diffusion Model Tanzila Rahman Shweta Mahajan Hsin-Ying Lee Jian Ren Sergey Tulyakov Leonid Sigal 134 4 0 18 Feb 2024
Rethinking Patch Dependence for Masked Autoencoders Letian Fu Long Lian Renhao Wang Baifeng Shi Xudong Wang Adam Yala Trevor Darrell Alexei A. Efros Ken Goldberg 116 16 0 25 Jan 2024
Discrete Distribution Networks Lei Yang 121 1 0 29 Dec 2023
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise Benjamin Salmon Alexander Krull 134 1 0 11 Oct 2023
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks Chi-Hieu Pham Saïd Ladjal A. Newson DRL 83 32 0 14 Jun 2020
Deep generative models for musical audio synthesis M. Huzaifah L. Wyse 187 20 0 10 Jun 2020
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning Zhang-Wei Hong Tzu-Yun Shann Shih-Yang Su Yi-Hsiang Chang Chun-Yi Lee 84 124 0 13 Feb 2018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 233 859 0 28 Nov 2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation Lei Cai Hongyang Gao Shuiwang Ji 88 69 0 19 May 2017
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables L. Ambrogioni Umut Güçlü Marcel van Gerven E. Maris BDL 173 47 0 19 May 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 220 1,360 0 19 May 2017
Pixel Deconvolutional Networks Hongyang Gao Hao Yuan Zhengyang Wang Shuiwang Ji SSeg 112 46 0 18 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning Thomas M. Moerland Joost Broekens Catholijn M. Jonker OffRL 79 31 0 01 May 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions Zichao Yang Zhiting Hu Ruslan Salakhutdinov Taylor Berg-Kirkpatrick 103 389 0 27 Feb 2017
Pixel Recursive Super Resolution Ryan Dahl Mohammad Norouzi Jonathon Shlens SupR 136 252 0 02 Feb 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 150 530 0 17 Jan 2017
Deep Amortized Inference for Probabilistic Programs Daniel E. Ritchie Paul Horsfall Noah D. Goodman TPM 106 82 0 18 Oct 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 186 1,484 0 06 Jun 2016
Generative Adversarial Text to Image Synthesis Scott E. Reed Zeynep Akata Xinchen Yan Lajanugen Logeswaran Bernt Schiele Honglak Lee GAN 209 3,149 0 17 May 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 90 314 0 07 May 2016
Towards Conceptual Compression Karol Gregor F. Besse Danilo Jimenez Rezende Ivo Danihelka Daan Wierstra DRL OCL SSL BDL 80 248 0 29 Apr 2016
One-Shot Generalization in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Ivo Danihelka Karol Gregor Daan Wierstra BDL VLM DRL LRM 127 254 0 16 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 291 11,150 0 14 Mar 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 486 2,579 0 25 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Neural GPUs Learn Algorithms Lukasz Kaiser Ilya Sutskever 92 370 0 25 Nov 2015
Generating Images from Captions with Attention Elman Mansimov Emilio Parisotto Jimmy Lei Ba Ruslan Salakhutdinov VLM 91 457 0 09 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 150 1,146 0 05 Nov 2015
A Neural Algorithm of Artistic Style Leon A. Gatys Alexander S. Ecker Matthias Bethge GAN 92 2,864 0 26 Aug 2015