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2011.07466
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Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
15 November 2020
Xin Ding
Student Member Ieee Yongwei Wang
Zuheng Xu
William J. Welch
F. I. Z. Jane Wang
GAN
VLM
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Papers citing
"Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms"
15 / 15 papers shown
Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization
Xin Ding
Yun Chen
Yongwei Wang
Kao Zhang
Sen Zhang
Peibei Cao
Xiangxue Wang
SyDa
322
1
0
03 Aug 2025
Multi-StyleGS: Stylizing Gaussian Splatting with Multiple Styles
AAAI Conference on Artificial Intelligence (AAAI), 2025
Yangkai Lin
Jiabao Lei
Kui Jia
3DGS
171
4
0
07 Jun 2025
A CGAN-LSTM-Based Framework for Time-Varying Non-Stationary Channel Modeling
Keying Guo
Ruisi He
Mi Yang
Yuxin Zhang
Bo Ai
Haoxiang Zhang
Jiahui Han
Ruifeng Chen
AI4TS
GAN
BDL
216
0
0
03 Mar 2025
Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial Network
Pattern Recognition (Pattern Recogn.), 2023
Debasmita Pal
Arun Ross
GAN
405
3
0
17 Jan 2025
CAT: Content-Adaptive Image Tokenization
Junhong Shen
Kushal Tirumala
Michihiro Yasunaga
Ishan Misra
Luke Zettlemoyer
Lili Yu
Chunting Zhou
234
7
0
06 Jan 2025
A New Benchmark Dataset and Mixture-of-Experts Language Models for Adversarial Natural Language Inference in Vietnamese
Tin Van Huynh
Kiet Van Nguyen
Ngan Luu-Thuy Nguyen
397
2
0
25 Jun 2024
CCDM: Continuous Conditional Diffusion Models for Image Generation
Xin Ding
Member Ieee Yongwei Wang
Kao Zhang
F. I. Z. Jane Wang
DiffM
591
12
0
06 May 2024
A Generative Model for Accelerated Inverse Modelling Using a Novel Embedding for Continuous Variables
Sébastien Bompas
Stefan Sandfeld
AI4CE
259
2
0
19 Nov 2023
Counterfactual Explanation for Regression via Disentanglement in Latent Space
Xuan Zhao
Klaus Broelemann
Gjergji Kasneci
OOD
CML
BDL
339
3
0
14 Nov 2023
CAPGrasp: An
R
3
×
SO(2)-equivariant
\mathbb{R}^3\times \text{SO(2)-equivariant}
R
3
×
SO(2)-equivariant
Continuous Approach-Constrained Generative Grasp Sampler
IEEE Robotics and Automation Letters (RA-L), 2023
Zehang Weng
Haofei Lu
Jens Lundell
Danica Kragic
SLR
349
1
0
18 Oct 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
International Conference on Learning Representations (ICLR), 2023
Huangjie Zheng
Zhendong Wang
Jianbo Yuan
Guanghan Ning
Pengcheng He
Quanzeng You
Hongxia Yang
Mingyuan Zhou
442
16
0
10 Oct 2023
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xin Ding
Yongwei Wang
Zuheng Xu
375
4
0
20 Aug 2023
Regression-Oriented Knowledge Distillation for Lightweight Ship Orientation Angle Prediction with Optical Remote Sensing Images
Signal, Image and Video Processing (SIVP), 2023
Zhan Shi
Xin Ding
Peng Ding
Chun Yang
Ruihong Huang
Xiao-dong Song
164
2
0
13 Jul 2023
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression
Expert systems with applications (ESWA), 2021
Xin Ding
Z. J. Wang
Zuheng Xu
Z. Jane Wang
William J. Welch
456
23
0
07 Apr 2021
Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable
Neurocomputing (Neurocomputing), 2021
Xin Ding
Yongwei Wang
Z. J. Wang
William J. Welch
262
9
0
20 Mar 2021
1
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