MaskGIT: Masked Generative Image Transformer

Chang, Huiwen, Zhang, Han, Jiang, Lu, Liu, Ce, Freeman, William T.·2022·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
DOI 10.1109/cvpr52688.2022.01103

Cited by (452)

Items 301–400 of 452

  1. Expressive Image Generation and Editing with Rich Text
    Songwei Ge, Taesung Park, Jun-Yan Zhu, Jiabin Huang · 2025 · International Journal of Computer Vision
  2. Diffusion-Inspired Masked Language Modeling for Symbolic Harmony Generation on a Fixed Time Grid
    Maximos A. Kaliakatsos-Papakostas, Dimos Makris, Konstantinos Soiledis, Konstantinos-Theodoros Tsamis, Vassilis Katsouros, Emilios Cambouropoulos · 2025 · Applied Sciences
  3. Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion
    Bac Nguyen, Chieh-Hsin Lai, Yuta Takida, Naoki Murata, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji · 2025 · International Joint Conference on Neural Networks (IJCNN)
  4. CODA: Repurposing Continuous VAEs for Discrete Tokenization
    Zeyu Liu, Zanlin Ni, Yue Hua, Xin Deng, Xiao Ma, Cheng Zhong, Gao Huang · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  5. The infinite doodler: expanding textures within tightly constrained manifolds
    Shumeet Baluja · 2023 · The Visual Computer
  6. ElectroPhysiomeGAN: Generation of Biophysical Neuron Model Parameters from Recorded Electrophysiological Responses
    Jimin Kim, Minxian Peng, Shuqi Chen, Qiang Liu, Eli Shlizerman · 2025 · eLife
  7. miniMTI: minimal multiplex tissue imaging enhances biomarker expression prediction from histology
    Young Hwan Chang, Zachary Sims, Sandhya Govindarajan, Kaoutar Ait-Ahmad, Çiğdem Ak, Marigold Kuykendall, Gordon Brent Mills, Sebnem Ece Eksi · 2026 · Research Square
  8. Fundamentos de Aprendizagem por Reforço
    Rafael Ris-Ala José Jardim · 2023
  9. Enhancing Hierarchical Vector Quantized Autoencoders for Image Synthesis Through Multiple Decoders
    Dario Serez, Marco Cristani, Vittorio Murino, Alessio Del Bue, Pietro Morerio · 2023 · Lecture notes in computer science
  10. Attentive Multi-Layer Perceptron for Non-autoregressive Generation
    Shuyang Jiang, Jun Zhang, Jiangtao Feng, Zheng Lin, Lingpeng Kong · 2023 · Lecture notes in computer science
  11. UIT: Unifying Pre-training Objectives for Image-Text Understanding
    XU Guo-qiang, Shenggang Yan · 2023 · Lecture notes in computer science
  12. Generative Networks
    Ziwei Liu, Shuai Yang, Yuming Jiang, Ziqi Huang · 2023 · Springer eBooks
  13. Collaborative Neural Painting
    Nicola Dall'Asen, Willi Menapace, Elia Peruzzo, Enver Sangineto, Yiming Wang, Elisa Ricci · 2024 · SSRN Electronic Journal
  14. Chatine: Empowering Texts with Visuals (Chatting Website with Text to Image Conversion Feature)
    Isha Lal -, Mrunmayee Chavan -, Vidhi Prajapati -, Toshi Jain - · 2024 · International Journal For Multidisciplinary Research
  15. PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding
    Xuesong Nie, Haoyuan Jin, Yunfeng Yan, Xi Chen, Zhihang Zhu, Donglian Qi · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  16. CELL-Diff: Unified Diffusion Modeling for Protein Sequences and Microscopy Images
    Zheng Dihan, Bo Huang · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  17. DiscoverNet: Unsupervised Video Object Discovery through Discrete Visual Tokenization and Language Model-Inspired Reconstruction
    Amey Joshi, Gargi Joshi, Rahee A. Walambe, Ketan V. Kotecha · 2024 · Research Square
  18. A Review of Facial Generation Technology Research
    Haohua Wang · 2024 · Applied and Computational Engineering
  19. TinyConv-PVT: A Deeper Fusion Model of CNN and Transformer for Tiny Dataset
    Yi Zhang, Bowei Zhang, Kai Yi · 2024 · Lecture notes in computer science
  20. Method of Mobile Speed Measurement Using Semi-Supervised Masked Auxiliary Classifier Generative Adversarial Networks
    Eunchul Yoon, Sun Yong Kim · 2024 · Electronics
  21. Dual-Conditioned Training to Exploit Pre-Trained Codebook-Based Generative Model in Image Compression
    Shoma Iwai, Tomo Miyazaki, Shinichiro Omachi · 2024 · IEEE Access
  22. Investigating Neural Audio Codecs For Speech Language Model-Based Speech Generation
    Jiaqi Li, Dongmei Wang, Xiaofei Wang, Yao Qian, Long Zhou, Shujie Liu, Midia Yousefi, Canrun Li, Chung-Hsien Tsai, Zhen Yan Xiao et al. · 2024 · IEEE Spoken Language Technology Workshop (SLT)
  23. Utilizing the Attention Mechanism for Accuracy Prediction in Quantized Neural Networks
    Wei Lu, Zhong Ma, Chaojie Yang, Qin Yao, Wei Zheng · 2025 · Mathematics
  24. Multi-Style Facial Sketch Synthesis through Masked Generative Modeling
    Bowen Sun, Lu Guo, Shibao Zheng · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
  25. Single-stage TTS with Masked Audio Token Modeling and Semantic Knowledge Distillation
    Gerard I. Gállego, Roy Fejgin, Chunghsin Yeh, Xiaoyu Liu, Gautam Bhattacharya · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
  26. Do Less and Achieve More: Free Condition Video Outpainting with Diffusion Model
    Haofan Huang, Yinlin Guo, Yening Lv, Sizhe Shan, Yan Zhang, Yuehai Wang · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
  27. Generating Long-Take Videos via Effective Keyframes and Guidance
    Hsin–Ping Huang, Yu-Chuan Su, Ming–Hsuan Yang · 2025 · IEEE Winter Conference on Applications of Computer Vision
  28. MaskDSC: Resilient Digital Semantic Communication with Masked Transformer and Unequal Error Protection
    Jun Wang, Kailin Tan, Sixian Wang, Xiaoqi Qin, Zhenyu Liu, Jincheng Dai · 2025 · IEEE Wireless Communications and Networking Conference
  29. Prototypical Distribution Divergence Loss for Image Restoration
    Jialun Peng, Jingjing Fu, Dong Liu · 2025 · IEEE Transactions on Image Processing
  30. T4Di: A Hybrid TTT-Transformer Backbone for Scalable and Efficient Diffusion Model
    Xirui Wu, Haixia Pan, Ruijun Liu, Biao Dong, Ying Zheng, Huolong Ye · 2025 · Lecture notes in computer science
  31. Multi-Modal Learning with Missing Modality Data via Hybrid Prompt Learning
    Yu Cheng, Shiyu Xuan, Xinyu Du, Zichen Gu, Jinzhao Liu · 2025 · Journal of Circuits Systems and Computers
  32. Enhancing Low-Light Image Reconstruction via Non-Autoregressive Transformers: A Mask-Aware Latent Integration Framework
    Qianyue Wang · 2025 · IEEE International Symposium on Industrial Electronics (ISIE)
  33. Text-Driven Scene Generation
    Zhaoxi Chen, Guangcong Wang, Ziwei Liu · 2025 · Advances in computer vision and pattern recognition
  34. LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes
    Shing-Hei Ho, Bao Thach, Minghan Zhu · 2025 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  35. Hybrid Sparse Transformer and Feature Alignment for Efficient Image Completion
    L. Chen, H. Sun · 2025 · Computer Graphics Forum
  36. Transformer-Driven Self-Supervised Learning for Visual Understanding: Methods and Applications
    Chongze Tang, Yi Lin Zhou, Wanxiang Qin, Yaoyue Zhang, Rui Wu, Wenkai Wang · 2025 · International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC)
  37. Child Speech Assessment Through Large Language Model Speech Synthesis: Preliminary Results
    Xinwei Cao, Zijian Fan, Torbjørn Karl Svendsen, Giampiero Salvi · 2025 · Machine learning for signal processing ...
  38. VRMusicStage: A System for Converting Fixed-Camera Music Stage Videos into Immersive VR Content
    Seungkyu Leem, Seokhyun Jeong, Yeonho Cho, Yoonjae Lee, Jungjin Lee · 2025 · ACM International Conference on Multimedia (ACM MM)
  39. Efficient Text-to-Motion via Multi-Head Generative Masked Modeling
    Heng Li, Xing Liufu, Xiaotong Lin, Jian Lin Zhu, Jian-Fang Hu · 2025 · IEEE International Conference on Multimedia and Expo (ICME)
  40. InpaintFormer: Prompt-guided High-Quality Face Inpainting with Mask-Aware Self-Attention
    Zhouhao Ouyang, Wen Xue, Tianyi Chen, Yan Huang, Si Wu, Yong Xu, Patrick Le Callet, Dapeng Oliver Wu · 2025 · IEEE International Conference on Multimedia and Expo (ICME)
  41. Spatio-Temporal Residual Masked Autoencoder for Urban Rent Estimation
    Chenya Huang, Bin Liang, Zhidong Li, Justin Wang, Fang Chen · 2025 · ACM International Conference on Information and Knowledge Management (CIKM)
  42. Discrete Flow Matching is a Surprisingly Effective Post-training Method to Address Compound Error in Autoregressive Models
    Kang Li, Bidipta Sarkar, Zheng Xiong, Sascha Frey, Zilin Wang, Frensi Zejnullahu, Alfred Backhouse, Stefan Zohren, Anisoara Calinescu, Mihai Cucuringu et al. · 2025 · ACM International Conference on AI in Finance (ICAIF)
  43. Gram: A Large General EEG Model for Raw Data Classification and Restoration
    Ziyi Li, Wei‐Long Zheng, Jiwen Xu, Yong Lu, Bao‐Liang Lu · 2025 · IEEE Transactions on Affective Computing
  44. Geo-lucid Conditional Diffusion Models for High Physical Fidelity Trajectory Generation
    Mingzhou Yang, Arun Sharma, Majid Farhadloo, Bharat Jayaprakash, Shashi Shekhar · 2025 · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS)
  45. Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
    Niklas Bubeck, Yundi Zhang, Suprosanna Shit, Daniel Rueckert, Jiazhen Pan · 2025 · Lecture notes in computer science
  46. AuDiffusion: multi-agent controlled text-to-image generation with attention-enhanced mamba blocks
    Dezhi An, Wanyao Zhang, Shengcai Zhang, Jun Lu · 2025 · Complex & Intelligent Systems
  47. Video Object Segmentation-Aware Audio Generation
    Ilpo Viertola, Vladimir Iashin, Esa Rahtu · 2026 · Lecture notes in computer science
  48. UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation
    Wonjun Kang, Byeongkeun Ahn, Minjae Lee, Kevin Galim, Seunghyuk Oh, Hyung Il Koo, Nam Ik Cho · 2026 · IEEE Access
  49. Soft Tail-Dropping for Adaptive Visual Tokenization
    Zeyuan Chen, Kai Zhang, Zhuowen Tu A, Yuanjun Xiong · 2026 · Lecture notes in computer science
  50. Multi-Scale Semantic Fusion for Text-to-Image Generation
    Yiwen Li · 2025 · International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV)
  51. MaskScene: Hierarchical Conditional Masked Models for Real-Time 3D Indoor Scene Synthesis
    Xinyu Zhang, Yusen Liu, Qichuan Geng, Zhong Zhou, Wenfeng Song · 2026 · IEEE Transactions on Visualization and Computer Graphics
  52. Efficient Video Semantic Transmission Needs Generative Latent Priors
    Sixian Wang, Jincheng Dai, Haotong Cao, Guo Lu, Kai Niu, Wenjun Xu, Wenjun Zhang, Ping Zhang · 2025 · International Conference on Wireless Communications and Signal Processing (WCSP)
  53. Masked Autoencoders for Vision Representation Learning on CIFAR-10
    Zihao Jiang · 2025 · IEEE International Conference on Data Science and Computer Application (ICDSCA)
  54. DecoderTCR: Compositional Pretraining and Entropy-Guided Decoding for TCR-pMHC Interactions
    Ben Lai, Melissa Englund, Ramit Bharanikumar, Isabel Nocedal, Ali Davariashtiyani, Jason F. Perera, Aly Azeem Khan · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  55. Decoupling Structure and Property in Discrete Protein Diffusion: Alignment Dynamics and Collapse Mechanisms
    Junqi Wu, Liyan Dong, Nuo Jia, Longyu Li, Hao Zhang · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  56. Token-Based Multi-condition Autoregressive Diffusion for Lung CT Image Generation
    Bo Wu · 2026 · Lecture notes in computer science
  57. WiC-RadGen: Dual-Band Wi-Fi Conditioned Radar Point Cloud Generation via Discrete VAEs and Masked Autoregressive Transformers
    Wenbo Ding, Yi Yang, Yang Li, Dongsheng Wang, Bin Zhao, Yunrong Zhu, Yibo Zhang, Xiao Xu, Fanglin Chen, Bing Yu et al. · 2026 · IEEE Internet of Things Journal
  58. FlowTurbo: Accelerating Flow-Based Image Generation Models via Multi-Stage Refinement
    Wenliang Zhao, Minglei Shi, Xumin Yu, Zengyi Qin, Jie Zhou, Jiwen Lu · 2026 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  59. CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation
    Masud Ahmed, Zahid Hasan, Syed Arefinul Haque, Abu Zaher Md Faridee, Sanjay Purushotham, Suya o. You, Nirmalya Roy · 2025 · IEEE International Conference on Computer Vision Workshops
  60. Pruning by Block Benefit: Exploring the Properties of Vision Transformer Blocks During Domain Adaptation
    Patrick Glandorf, Bodo Rosenhahn · 2025 · IEEE International Conference on Computer Vision Workshops
  61. Codebook Transfer With Vision-to-Language Translation for Vector Quantization
    Baoquan Zhang, Guotao Liang, Tianran Chen, Yunming Ye, Zhiyuan Wen, Xiaochen Qi, Yao He · 2026 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  62. VAR-Turbo: Unlocking the Potential of Visual Autoregressive Models Through Dual Redundancy
    Xujiang Xiang, Fengbin Tu · 2026 · IEEE International Symposium on High-Performance Computer Architecture (HPCA)
  63. Predicting how perturbations reshape cellular trajectories with PerturbGen
    Kevin Chi Hao Ly, Adib Miraki Feriz, Tomoya Isobe, Amirhossein Vahidi, Delshad Vaghari, Anthony Rostron, Mariana Quiroga Londoño, Nicole Mende, M. S. Vijayabaskar, Marie Moullet et al. · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  64. Pay (Cross) Attention to the Melody: Curriculum Masking for Single-Encoder Melodic Harmonization
    Maximos A. Kaliakatsos-Papakostas, Dimos Makris, Konstantinos Soiledis, Konstantinos-Theodoros Tsamis, Vassilis Katsouros, Emilios Cambouropoulos · 2025 · IEEE International Conference on Big Data (BigData)
  65. Towards Scene-Aware Video-to-Spatial Audio Generation
    Jaeyeon Kim, Heeseung Yun, Gunhee Kim · 2026 · International Journal of Computer Vision
  66. NodeNAR: Non-Autoregressive Graph Generation via Masked Sequence Modeling
    Qiya Yang, Xiuling Wang, Xiaoxi Liang, Yufei Ma, Guibo Luo, Yuesheng Zhu · 2025 · IEEE ... International Conference on Data Mining workshops
  67. Mind-VAD: Brain-Inspired fMRI-to-Video Precise Reconstruction via Cross-Modal Autoregressive Diffusion
    Haodong Jing, Yongqiang Ma, Wenjie Gao, Dongyao Jiang, Shuai Huang, Nanning Zheng · 2026 · IEEE Transactions on Circuits and Systems for Video Technology
  68. EvoTok: A Unified Image Tokenizer via Residual Latent Evolution for Visual Understanding and Generation
    Yan Li, Ning Liao, Xiangyu Zhao, Shaofeng Zhang, Xiaoxing Wang, Yifan Yang, Junchi Yan, Xue Yang · 2026 · Lecture notes in computer science
  69. Revisiting Autoregressive Models for Generative Image Classification
    Ilia Pavlovich Sudakov, Artem Babenko, Dmitry Baranchuk · 2026 · Lecture notes in computer science
  70. GIDE: Unlocking Diffusion LLMs for Precise Training-Free Image Editing
    Zifeng Zhu, Jiaming Han, Jiaxiang Zhao, Minnan Luo, Xiangyu Yue · 2026 · Lecture notes in computer science
  71. Policy-Based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards
    Orhun Bugra Baran, Melih Kandemir, Ramazan Gökberk Cinbiş · 2026 · Lecture notes in computer science
  72. Uncertainty-Gated Adapter for Visual Autoregressive Generation
    Yanran Xu, Guangyao Xiong, Xun Jia Su · 2025 · International Conference on Big Data and Data Mining (BDDM)
  73. Iterative Token Refinement for Remote Sensing Image Super-Resolution
    Songze Tang, Le Sun · 2026 · IEEE Geoscience and Remote Sensing Letters
  74. Evaluating AI-Based Image Inpainting Techniques for Facial Components Restoration Using Semantic Masks
    Hussein Sharadga, Abdullah Hayajneh, Erchin Serpedin · 2026 · AI
  75. Learning multi-modal distributions and image editing with deep generative models
    Thibaut Issenhuth · 2023 · theses.fr (ABES)
  76. Generative models for complex visual content
    Marlène Careil · 2024
  77. Text-Based Semantic Image Editing
    Guillaume Couairon · 2023
  78. Internal methods for the generation and inpainting of images and videos
    Nicolas Cherel · 2024
  79. ELT: Elastic Looped Transformers for Visual Generation
    Sahil Goyal, Swayam Agrawal, Gautham Govind Anil, Prateek Jain, Sujoy Paul, Aditya Kusupati · 2026 · Lecture notes in computer science
  80. Harnessing Masked Generative Transformers for Effective Knowledge Distillation
    Junhao Wang, Gaochao Xu · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  81. T-Cache: Fast Inference For Masked Generative Transformer-Based TTS Via Prompt-Aware Feature Caching
    Obed Irihose, Le Zhang · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  82. Nativetok: Native Visual Tokenization for Improved Image Generation
    Bin Wu, Mengqi Huang, Weinan Jia, Zhendong Mao · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  83. DisContSE: Single-Step Diffusion Speech Enhancement based on Joint Discrete and Continuous Embeddings
    Yihui Fu, Tim Fingscheidt · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  84. Monte Carlo Marginalization: A Differentiable Method to Learn High-Dimensional Distributions
    Chenqiu Zhao, Guanfang Dong, Anup Basu · 2026 · IEEE Transactions on Neural Networks and Learning Systems
  85. HiTMM: Generative Temporal Masked Modeling of Human Interactive Motions
    Zicheng Jiao, Yunlian Sun, Hongwen Zhang, Jinhui Tang, Mássimo Tistarelli · 2026 · IEEE Transactions on Visualization and Computer Graphics
  86. Rethinking the Role of Vector Quantization for Blind Image Restoration
    Zhaolin Zheng, Liqi Xue, Linghao Li, Chenwei Gong, Xiantong Zhen, Jun Xu · 2026 · IEEE Transactions on Multimedia
  87. Photolithography Overlay Map Generation with Implicit Knowledge Distillation Diffusion Transformer
    Yuan-Fu Yang, Hsiu-Hui Hsiao · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  88. Holistic Tokenizer for Autoregressive Image Generation
    Anlin Zheng, Haochen Wang, Yucheng Zhao, Weipeng Deng, Tiancai Wang, Xiangyu Zhang, Xiaojuan Qi · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  89. LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation
    Jiahao Wang, Ning Kang, Lewei Yao, Mengzhao Chen, Chengyue Wu, Songyang Zhang, Shuchen Xue, Yong Liu, Taiqiang Wu, Xihui Liu et al. · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  90. Di[M]O: Distilling Masked Diffusion Models Into One-Step Generator
    Yuanzhi Zhu, Xi Wang, Stéphane Lathuilière, Vicky S. Kalogeiton · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  91. Diverse Sketch Colorization with Content-Enhanced Style Representation and Recolorization Distillation
    Shuangming Mao, Haixiang Zhu · 2026 · IEEE Winter Conference on Applications of Computer Vision
  92. SegMo: Segment-aligned Text to 3D Human Motion Generation
    Bowen Dang, Lin Yuanbo Wu, Xiaohang Yang, Zheng Yuan, Z Chen · 2026 · IEEE Winter Conference on Applications of Computer Vision
  93. LVM-Lite: Training Large Vision Models with Efficient Sequential Modeling
    Xianhang Li, Hongru Zhu, Sucheng Ren, Linjie Yang, Peng Wang, Heng Wang, Xiaohui Shen, Qing Liu, Cihang Xie · 2026 · IEEE Winter Conference on Applications of Computer Vision
  94. Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation
    Johan Vik Mathisen, Erlend Lokna, Dae-Soo Lee, Erlend Aune · 2026 · Communications in computer and information science
  95. Where Quality Breaks in Compressed Short-Text Generation: Staged Bottleneck Localization
    Alexey Gavrilov, Alan-Barsag Gazzaev, Sergey Muravyov · 2026 · Conference of Open Innovations Association (FRUCT)
  96. MuseDrift: Navigating protein evolutionary manifolds with conditional discrete diffusion
    Chao-Yang Wang, Yi-Quan Wang · 2026 · bioRxiv
  97. WinTok: A Win-Win Hybrid Tokenizer via Decomposing Visual Understanding and Generation with Transferable Tokens
    Yiwei Guo, Shaobin Zhuang, Zhipeng Huang, Canmiao Fu, Chen Li, Jing Lyu, Yali Wang · 2026 · Lecture notes in computer science
  98. Decoding heterogeneous aging clocks and disease risk stratification using MetAgeFormer
    Yu Xu, bohao ZOU, Guoxiang Xie, Tianlu Chen, Wei Jia, Lu Zhang, The Alzheimer’s Disease Neuroimaging Initiative (ADNI) · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  99. GuidedVDM: Controllable Video Generation with Long-Term Consistency
    Yan Shu, Zhaofan Qiu, Ting Yao, Tao Mei · 2026 · International Journal of Computer Vision
  100. SuperVoxelGPT: Adaptive and Ordered 3D Tokenization for Autoregressive Shape Generation
    Yuan Li, Congyi Zhang, Xifeng Gao, Xiaohu Guo · 2026 · Lecture notes in computer science