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Qi, Y.[Yali],
Zeng, Q.[Qingtao],
Lu, L.[Likun],
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CVIDL23(1-4)
IEEE DOI
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Training, Deep learning, Learning systems, Image synthesis,
Computational modeling, Diffusion models
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Nair, N.G.[Nithin Gopalakrishnan],
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Steered Diffusion: A Generalized Framework for Plug-and-Play
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ICCV23(20793-20803)
IEEE DOI
2401
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Wang, Z.D.[Zhen-Dong],
Bao, J.M.[Jian-Min],
Zhou, W.G.[Wen-Gang],
Wang, W.[Weilun],
Hu, H.[Hezhen],
Chen, H.[Hong],
Li, H.Q.[Hou-Qiang],
DIRE for Diffusion-Generated Image Detection,
ICCV23(22388-22398)
IEEE DOI Code:
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2401
BibRef
Tang, J.[Junshu],
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Chen, D.[Dong],
Make-It-3D: High-Fidelity 3D Creation from A Single Image with
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ICCV23(22762-22772)
IEEE DOI
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BibRef
Ge, S.W.[Song-Wei],
Nah, S.J.[Seung-Jun],
Liu, G.L.[Gui-Lin],
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Jacobs, D.[David],
Huang, J.B.[Jia-Bin],
Liu, M.Y.[Ming-Yu],
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ICCV23(22873-22884)
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BibRef
Hong, S.[Susung],
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ICCV23(7428-7437)
IEEE DOI
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Wang, X.[Xintao],
Lei, S.W.X.[Stan Wei-Xian],
Gu, Y.C.[Yu-Chao],
Shi, Y.F.[Yu-Fei],
Hsu, W.[Wynne],
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IEEE DOI
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Jiang, Y.[Yutao],
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ICCV23(22612-22622)
IEEE DOI
2401
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Levi, E.[Elad],
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ICCV23(2174-2183)
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ICCV23(7418-7427)
IEEE DOI
2401
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Wu, Q.C.[Qiu-Cheng],
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ICCV23(7732-7742)
IEEE DOI
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Khachatryan, L.[Levon],
Movsisyan, A.[Andranik],
Tadevosyan, V.[Vahram],
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Zhao, J.[Jing],
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ICCV23(22634-22645)
IEEE DOI
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Schwartz, I.[Idan],
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Chefer, H.[Hila],
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2401
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Patashnik, O.[Or],
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ICCV23(22994-23004)
IEEE DOI
2401
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Ge, S.W.[Song-Wei],
Park, T.[Taesung],
Zhu, J.Y.[Jun-Yan],
Huang, J.B.[Jia-Bin],
Expressive Text-to-Image Generation with Rich Text,
ICCV23(7511-7522)
IEEE DOI
2401
BibRef
Kim, Y.J.[Yun-Ji],
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Xiang, J.F.[Jian-Feng],
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Schramowski, P.[Patrick],
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Safe Latent Diffusion: Mitigating Inappropriate Degeneration in
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CVPR23(22522-22531)
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Chen, C.[Chen],
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Ma, S.Q.[Si-Qi],
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Private Image Generation with Dual-Purpose Auxiliary Classifier,
CVPR23(20361-20370)
IEEE DOI
2309
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Chai, L.[Lucy],
Tucker, R.[Richard],
Li, Z.Q.[Zheng-Qi],
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Persistent Nature: A Generative Model of Unbounded 3D Worlds,
CVPR23(20863-20874)
IEEE DOI
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Ni, H.[Haomiao],
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CVPR23(18444-18455)
IEEE DOI
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Zhang, Q.S.[Qin-Sheng],
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CVPR23(10188-10198)
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Phung, H.[Hao],
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Wavelet Diffusion Models are fast and scalable Image Generators,
CVPR23(10199-10208)
IEEE DOI
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Shim, J.[Jaehyeok],
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Diffusion-Based Signed Distance Fields for 3D Shape Generation,
CVPR23(20887-20897)
IEEE DOI
2309
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Shue, J.R.[J. Ryan],
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3D Neural Field Generation Using Triplane Diffusion,
CVPR23(20875-20886)
IEEE DOI
2309
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Kim, S.W.[Seung Wook],
Brown, B.[Bradley],
Yin, K.X.[Kang-Xue],
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Rombach, R.[Robin],
Torralba, A.[Antonio],
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NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion
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CVPR23(8496-8506)
IEEE DOI
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Luo, Z.X.[Zheng-Xiong],
Chen, D.[Dayou],
Zhang, Y.Y.[Ying-Ya],
Huang, Y.[Yan],
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CVPR23(10209-10218)
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MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio
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CVPR23(10219-10228)
IEEE DOI
2309
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Zhu, Y.Z.[Yuan-Zhi],
Li, Z.[Zhaohai],
Wang, T.W.[Tian-Wei],
He, M.C.[Meng-Chao],
Yao, C.[Cong],
Conditional Text Image Generation with Diffusion Models,
CVPR23(14235-14244)
IEEE DOI
2309
BibRef
Zhou, Y.F.[Yu-Fan],
Liu, B.C.[Bing-Chen],
Zhu, Y.Z.[Yi-Zhe],
Yang, X.[Xiao],
Chen, C.Y.[Chang-You],
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Shifted Diffusion for Text-to-image Generation,
CVPR23(10157-10166)
IEEE DOI
2309
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Li, M.[Muheng],
Duan, Y.[Yueqi],
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Lu, J.W.[Ji-Wen],
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion,
CVPR23(12642-12651)
IEEE DOI
2309
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Xu, J.[Jiale],
Wang, X.[Xintao],
Cheng, W.H.[Wei-Hao],
Cao, Y.P.[Yan-Pei],
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CVPR23(20908-20918)
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Chai, S.[Shang],
Zhuang, L.S.[Lian-Sheng],
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LayoutDM: Transformer-based Diffusion Model for Layout Generation,
CVPR23(18349-18358)
IEEE DOI
2309
BibRef
Wu, Q.C.[Qiu-Cheng],
Liu, Y.J.[Yu-Jian],
Zhao, H.[Handong],
Kale, A.[Ajinkya],
Bui, T.[Trung],
Yu, T.[Tong],
Lin, Z.[Zhe],
Zhang, Y.[Yang],
Chang, S.Y.[Shi-Yu],
Uncovering the Disentanglement Capability in Text-to-Image Diffusion
Models,
CVPR23(1900-1910)
IEEE DOI
2309
BibRef
Jain, A.[Ajay],
Xie, A.[Amber],
Abbeel, P.[Pieter],
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models,
CVPR23(1911-1920)
IEEE DOI
2309
BibRef
Kumari, N.[Nupur],
Zhang, B.L.[Bing-Liang],
Zhang, R.[Richard],
Shechtman, E.[Eli],
Zhu, J.Y.[Jun-Yan],
Multi-Concept Customization of Text-to-Image Diffusion,
CVPR23(1931-1941)
IEEE DOI
2309
BibRef
Hui, M.[Mude],
Zhang, Z.Z.[Zhi-Zheng],
Zhang, X.Y.[Xiao-Yi],
Xie, W.X.[Wen-Xuan],
Wang, Y.W.[Yu-Wang],
Lu, Y.[Yan],
Unifying Layout Generation with a Decoupled Diffusion Model,
CVPR23(1942-1951)
IEEE DOI
2309
BibRef
Ruiz, N.[Nataniel],
Li, Y.Z.[Yuan-Zhen],
Jampani, V.[Varun],
Pritch, Y.[Yael],
Rubinstein, M.[Michael],
Aberman, K.[Kfir],
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for
Subject-Driven Generation,
CVPR23(22500-22510)
IEEE DOI
2309
BibRef
Zheng, G.C.[Guang-Cong],
Zhou, X.P.[Xian-Pan],
Li, X.W.[Xue-Wei],
Qi, Z.A.[Zhong-Ang],
Shan, Y.[Ying],
Li, X.[Xi],
LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image
Generation,
CVPR23(22490-22499)
IEEE DOI
2309
BibRef
Liu, X.H.[Xi-Hui],
Park, D.H.[Dong Huk],
Azadi, S.[Samaneh],
Zhang, G.[Gong],
Chopikyan, A.[Arman],
Hu, Y.X.[Yu-Xiao],
Shi, H.[Humphrey],
Rohrbach, A.[Anna],
Darrell, T.J.[Trevor J.],
More Control for Free! Image Synthesis with Semantic Diffusion
Guidance,
WACV23(289-299)
IEEE DOI
2302
Image synthesis, Annotations, Image matching, Semantics,
Noise reduction, Probabilistic logic,
Vision + language and/or other modalities
BibRef
Pan, Z.H.[Zhi-Hong],
Zhou, X.[Xin],
Tian, H.[Hao],
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image
Generation,
WACV23(4450-4460)
IEEE DOI
2302
Graphics, Training, Technological innovation, Adaptation models,
Adaptive systems, Art, Navigation,
Vision + language and/or other modalities
BibRef
Gu, S.Y.[Shu-Yang],
Chen, D.[Dong],
Bao, J.M.[Jian-Min],
Wen, F.[Fang],
Zhang, B.[Bo],
Chen, D.D.[Dong-Dong],
Yuan, L.[Lu],
Guo, B.N.[Bai-Ning],
Vector Quantized Diffusion Model for Text-to-Image Synthesis,
CVPR22(10686-10696)
IEEE DOI
2210
Image quality, Image resolution, Image synthesis,
Computational modeling, Noise reduction,
Vision+language
BibRef
Jing, B.[Bowen],
Corso, G.[Gabriele],
Berlinghieri, R.[Renato],
Jaakkola, T.[Tommi],
Subspace Diffusion Generative Models,
ECCV22(XXIII:274-289).
Springer DOI
2211
BibRef
Han, L.G.[Li-Gong],
Li, Y.X.[Yin-Xiao],
Zhang, H.[Han],
Milanfar, P.[Peyman],
Metaxas, D.N.[Dimitris N.],
Yang, F.[Feng],
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning,
ICCV23(7289-7300)
IEEE DOI
2401
BibRef
Nair, N.G.[Nithin Gopalakrishnan],
Bandara, W.G.C.[Wele Gedara Chaminda],
Patel, V.M.[Vishal M.],
Unite and Conquer: Plug and Play Multi-Modal Synthesis Using
Diffusion Models,
CVPR23(6070-6079)
IEEE DOI
2309
BibRef
Benny, Y.[Yaniv],
Wolf, L.B.[Lior B.],
Dynamic Dual-Output Diffusion Models,
CVPR22(11472-11481)
IEEE DOI
2210
Image quality, Image synthesis, Noise reduction,
Generative adversarial networks,
Image and video synthesis and generation
BibRef
Hu, M.H.[Ming-Hui],
Wang, Y.J.[Yu-Jie],
Cham, T.J.[Tat-Jen],
Yang, J.F.[Jian-Fei],
Suganthan, P.N.,
Global Context with Discrete Diffusion in Vector Quantised Modelling
for Image Generation,
CVPR22(11492-11501)
IEEE DOI
2210
Training, Visualization, Image resolution, Image synthesis,
Pipelines, Noise reduction, Probabilistic logic,
Image and video synthesis and generation
BibRef
Ma, H.Y.[Heng-Yuan],
Zhang, L.[Li],
Zhu, X.T.[Xia-Tian],
Feng, J.F.[Jian-Feng],
Accelerating Score-Based Generative Models with Preconditioned
Diffusion Sampling,
ECCV22(XXIII:1-16).
Springer DOI
2211
BibRef
Zheng, G.[Guangcong],
Li, S.[Shengming],
Wang, H.[Hui],
Yao, T.P.[Tai-Ping],
Chen, Y.[Yang],
Ding, S.H.[Shou-Hong],
Li, X.[Xi],
Entropy-Driven Sampling and Training Scheme for Conditional Diffusion
Generation,
ECCV22(XXII:754-769).
Springer DOI
2211
BibRef
Liu, N.[Nan],
Li, S.[Shuang],
Du, Y.L.[Yi-Lun],
Torralba, A.[Antonio],
Tenenbaum, J.B.[Joshua B.],
Compositional Visual Generation with Composable Diffusion Models,
ECCV22(XVII:423-439).
Springer DOI
2211
BibRef
Sehwag, V.[Vikash],
Hazirbas, C.[Caner],
Gordo, A.[Albert],
Ozgenel, F.[Firat],
Ferrer, C.C.[Cristian Canton],
Generating High Fidelity Data from Low-density Regions using
Diffusion Models,
CVPR22(11482-11491)
IEEE DOI
2210
Manifolds, Computational modeling, Diffusion processes,
Data models, Pattern recognition, Representation learning
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Vision Transformers for Image Generation and Image Synthesis .