{"total":58,"rows":[{"id":"2111.01007","title":"Projected GANs Converge Faster","created":"2021-11-01","cited_by_count":208,"area":null},{"id":"2211.11695","title":"Disentangled Representation Learning","created":"2022-11-21","cited_by_count":112,"area":null},{"id":"2203.14954","title":"GIRAFFE HD: A High-Resolution 3D-aware Generative Model","created":"2022-03-28","cited_by_count":86,"area":null},{"id":"2103.15158","title":"Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection","created":"2021-03-28","cited_by_count":77,"area":null},{"id":"2104.14575","title":"Unsupervised Layered Image Decomposition into Object Prototypes","created":"2021-04-29","cited_by_count":50,"area":null},{"id":"2103.15627","title":"Learning Generative Models of Textured 3D Meshes from Real-World Images","created":"2021-03-29","cited_by_count":44,"area":null},{"id":"2103.16146","title":"Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation","created":"2021-03-30","cited_by_count":35,"area":null},{"id":"2303.11162","title":"Picture that Sketch: Photorealistic Image Generation from Abstract Sketches","created":"2023-03-20","cited_by_count":34,"area":null},{"id":"2306.00966","title":"The Hidden Language of Diffusion Models","created":"2023-06-01","cited_by_count":34,"area":"diffusion"},{"id":"2103.06879","title":"CoMoGAN: continuous model-guided image-to-image translation","created":"2021-03-11","cited_by_count":27,"area":null},{"id":"2104.05622","title":"Where and What? Examining Interpretable Disentangled Representations","created":"2021-04-07","cited_by_count":27,"area":null},{"id":"2110.15497","title":"Unsupervised Foreground Extraction via Deep Region Competition","created":"2021-10-29","cited_by_count":26,"area":"moe"},{"id":"2110.04281","title":"Collaging Class-specific GANs for Semantic Image Synthesis","created":"2021-10-08","cited_by_count":25,"area":null},{"id":"2207.10075","title":"Is an Object-Centric Video Representation Beneficial for Transfer?","created":"2022-07-20","cited_by_count":24,"area":null},{"id":"2112.01036","title":"GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation","created":"2021-12-02","cited_by_count":19,"area":null},{"id":"2203.16521","title":"CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs","created":"2022-03-30","cited_by_count":17,"area":null},{"id":"2304.05387","title":"MOST: Multiple Object localization with Self-supervised Transformers for object discovery","created":"2023-04-11","cited_by_count":17,"area":null},{"id":"2105.01652","title":"The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory","created":"2021-05-04","cited_by_count":13,"area":null},{"id":"2102.05185","title":"Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement","created":"2021-02-09","cited_by_count":12,"area":null},{"id":"2406.19298","title":"Compositional Image Decomposition with Diffusion Models","created":"2024-06-27","cited_by_count":12,"area":"diffusion"},{"id":"2110.02891","title":"Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models","created":"2021-10-06","cited_by_count":11,"area":null},{"id":"2303.13062","title":"SIEDOB: Semantic Image Editing by Disentangling Object and Background","created":"2023-03-23","cited_by_count":11,"area":null},{"id":"2407.18999","title":"Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models","created":"2024-07-26","cited_by_count":10,"area":"mllm"},{"id":"2103.02997","title":"MOGAN: Morphologic-structure-aware Generative Learning from a Single Image","created":"2021-03-04","cited_by_count":9,"area":null},{"id":"2107.14229","title":"Physics-informed Guided Disentanglement in Generative Networks","created":"2021-07-29","cited_by_count":9,"area":null},{"id":"2112.14971","title":"Contrastive Fine-grained Class Clustering via Generative Adversarial Networks","created":"2021-12-30","cited_by_count":9,"area":null},{"id":"2305.03040","title":"TUVF: Learning Generalizable Texture UV Radiance Fields","created":"2023-05-04","cited_by_count":9,"area":null},{"id":"2504.13112","title":"Hadamard product in deep learning: Introduction, Advances and Challenges","created":"2025-04-17","cited_by_count":9,"area":null},{"id":"2104.00483","title":"Learning Foreground-Background Segmentation from Improved Layered GANs","created":"2021-04-01","cited_by_count":7,"area":null},{"id":"2103.10611","title":"Knowledge-Guided Object Discovery with Acquired Deep Impressions","created":"2021-03-19","cited_by_count":6,"area":null},{"id":"2109.08090","title":"DisUnknown: Distilling Unknown Factors for Disentanglement Learning","created":"2021-09-16","cited_by_count":6,"area":null},{"id":"2208.10422","title":"FurryGAN: High Quality Foreground-aware Image Synthesis","created":"2022-08-22","cited_by_count":6,"area":null},{"id":"2211.16710","title":"Extracting Semantic Knowledge from GANs with Unsupervised Learning","created":"2022-11-30","cited_by_count":5,"area":null},{"id":"2212.03848","title":"NeRFEditor: Differentiable Style Decomposition for Full 3D Scene Editing","created":"2022-12-07","cited_by_count":5,"area":null},{"id":"2212.14306","title":"Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models","created":"2022-12-29","cited_by_count":5,"area":"diffusion"},{"id":"2304.13722","title":"Controllable Image Generation via Collage Representations","created":"2023-04-26","cited_by_count":5,"area":null},{"id":"2111.13282","title":"Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey","created":"2021-11-26","cited_by_count":4,"area":null},{"id":"2211.02707","title":"Contrastive Learning for Diverse Disentangled Foreground Generation","created":"2022-11-04","cited_by_count":4,"area":null},{"id":"2311.14542","title":"ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schr\\\"odinger Bridge","created":"2023-11-24","cited_by_count":4,"area":"diffusion"},{"id":"2410.23820","title":"Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models","created":"2024-10-31","cited_by_count":4,"area":"diffusion"},{"id":"2411.00868","title":"Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy","created":"2024-10-30","cited_by_count":4,"area":null},{"id":"2104.02052","title":"Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains","created":"2021-04-05","cited_by_count":3,"area":null},{"id":"2112.12911","title":"Cluster-guided Image Synthesis with Unconditional Models","created":"2021-12-24","cited_by_count":3,"area":null},{"id":"2108.13258","title":"Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation","created":"2021-08-30","cited_by_count":2,"area":null},{"id":"2211.13974","title":"ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation","created":"2022-11-25","cited_by_count":2,"area":null},{"id":"2305.03983","title":"Multi-object Video Generation from Single Frame Layouts","created":"2023-05-06","cited_by_count":2,"area":null},{"id":"2208.11546","title":"Unsupervised Structure-Consistent Image-to-Image Translation","created":"2022-08-24","cited_by_count":1,"area":null},{"id":"2301.00366","title":"SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation","created":"2023-01-01","cited_by_count":1,"area":null},{"id":"2501.04144","title":"Chirpy3D: Part-Aware Multi-View Diffusion for Creative Fine-Grained Object Generation","created":"2025-01-07","cited_by_count":1,"area":null},{"id":"2503.05522","title":"Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations","created":"2025-03-07","cited_by_count":1,"area":"mechinterp"},{"id":"2601.10107","title":"Enhancing Visual In-Context Learning by Multi-Faceted Fusion","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2101.08408","title":"Blocked and Hierarchical Disentangled Representation From Information Theory Perspective","created":"2021-01-21","cited_by_count":0,"area":null},{"id":"2310.06562","title":"Compositional Representation Learning for Brain Tumour Segmentation","created":"2023-10-10","cited_by_count":0,"area":null},{"id":"2310.09278","title":"Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning","created":"2023-10-13","cited_by_count":0,"area":null},{"id":"2410.02894","title":"Task-Decoupled Image Inpainting Framework for Class-specific Object Remover","created":"2024-10-03","cited_by_count":0,"area":null},{"id":"2506.22505","title":"Weakly Supervised Object Segmentation by Background Conditional Divergence","created":"2025-06-25","cited_by_count":0,"area":null},{"id":"2512.22324","title":"DeMoGen: Towards Decompositional Human Motion Generation with Energy-Based Diffusion Models","created":"2025-12-26","cited_by_count":0,"area":"diffusion"},{"id":"2606.24094","title":"Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent","created":"2026-06-23","cited_by_count":0,"area":null}],"next_cursor":null}