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Songhua Liu

29 papers · 2021–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (5) πŸ—ΊοΈ Taxonomy Completionist (50)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🀝 Dynamic Duo (26) 🧬 Topic Evolution ⚑ Prolific Year (7) πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (100)

Conferences

CVPR (9) ICCV (7) NIPS (4) ECCV (3) ICML (3) AAAI (2) ACL (1)

Papers

FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation AAAI 2026 POSTA: A Go-to Framework for Customized Artistic Poster Generation CVPR 2025 Open-World Authorship Attribution ACL 2025 Diffusion Model is Effectively Its Own Teacher CVPR 2025 Hash3D: Training-free Acceleration for 3D Generation CVPR 2025 OminiControl: Minimal and Universal Control for Diffusion Transformer ICCV 2025 Heavy Labels Out! Dataset Distillation with Label Space Lightening ICCV 2025 UniversalBooth: Model-Agnostic Personalized Text-to-Image Generation ICCV 2025 Control and Realism: Best of Both Worlds in Layout-to-Image without Training ICML 2025 Ultra-Resolution Adaptation with Ease ICML 2025 Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching ECCV 2024 Distilled Datamodel with Reverse Gradient Matching CVPR 2024 MindBridge: A Cross-Subject Brain Decoding Framework CVPR 2024 StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization ICML 2024 Mutual-Modality Adversarial Attack with Semantic Perturbation AAAI 2024 One-shot Federated Learning via Synthetic Distiller-Distillate Communication NIPS 2024 Partial Network Cloning CVPR 2023 Few-Shot Dataset Distillation via Translative Pre-Training ICCV 2023 MGDD: A Meta Generator for Fast Dataset Distillation NIPS 2023 SG-Former: Self-guided Transformer with Evolving Token Reallocation ICCV 2023 Distribution Shift Inversion for Out-of-Distribution Prediction CVPR 2023 Slimmable Dataset Condensation CVPR 2023 Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer CVPR 2023 DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation ECCV 2022 Dataset Distillation via Factorization NIPS 2022 Deep Model Reassembly NIPS 2022 Learning with Recoverable Forgetting ECCV 2022 Paint Transformer: Feed Forward Neural Painting With Stroke Prediction ICCV 2021 AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer ICCV 2021