Copertina

Unified Continuous Generative Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sun, Peng, Jiang, Yi, Lin, Tao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Unified and General Framework for Continual Learning
di: Wang, Zhenyi, et al.
Pubblicazione: (2024)

On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
di: Sun, Peng, et al.
Pubblicazione: (2023)

IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation
di: Lin, Yuanze, et al.
Pubblicazione: (2025)

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
di: Lin, Zinan, et al.
Pubblicazione: (2025)

Dual Diffusion for Unified Image Generation and Understanding
di: Li, Zijie, et al.
Pubblicazione: (2024)

Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
di: Kim, Gyuhak, et al.
Pubblicazione: (2023)

Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning
di: Hu, Tao, et al.
Pubblicazione: (2026)

CLoG: Benchmarking Continual Learning of Image Generation Models
di: Zhang, Haotian, et al.
Pubblicazione: (2024)

FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning
di: Yan, Hongwei, et al.
Pubblicazione: (2026)

Domain Generalizable Continual Learning
di: Yan, Hongwei, et al.
Pubblicazione: (2025)

A Unifying Information-theoretic Perspective on Evaluating Generative Models
di: Fox, Alexis, et al.
Pubblicazione: (2024)

A Unified View of Score-Based and Drifting Models
di: Lai, Chieh-Hsin, et al.
Pubblicazione: (2026)

Continual Learning of Diffusion Models with Generative Distillation
di: Masip, Sergi, et al.
Pubblicazione: (2023)

UniFusion: Vision-Language Model as Unified Encoder in Image Generation
di: Li, Kevin, et al.
Pubblicazione: (2025)

Simulating the Real World: A Unified Survey of Multimodal Generative Models
di: Hu, Yuqi, et al.
Pubblicazione: (2025)

SDM: A Powerful Tool for Evaluating Model Robustness
di: Liu, Xinlei, et al.
Pubblicazione: (2026)

Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer
di: Ren, Tao, et al.
Pubblicazione: (2025)

Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
di: Xu, Xinyue, et al.
Pubblicazione: (2024)

Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
di: Kang, Haneol, et al.
Pubblicazione: (2024)

From Tokens to Numbers: Continuous Number Modeling for SVG Generation
di: Ogezi, Michael, et al.
Pubblicazione: (2026)

Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport
di: Pan, Zecheng, et al.
Pubblicazione: (2025)

What Drives Compositional Generalization? The Importance of Continuous Training Objectives in Visual Generative Models
di: Farid, Karim, et al.
Pubblicazione: (2025)

VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models
di: Li, Edward, et al.
Pubblicazione: (2025)

Filtered Posterior Mean Collections: A Unified Framework for Analytical Models of Diffusion Generalization
di: Niedoba, Matthew, et al.
Pubblicazione: (2026)

Do Understanding and Generation Fight? A Diagnostic Study of DPO for Unified Multimodal Models
di: Rao, Abinav, et al.
Pubblicazione: (2026)

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
di: Zhan, Jun, et al.
Pubblicazione: (2024)

EUGens: Efficient, Unified, and General Dense Layers
di: Kim, Sang Min, et al.
Pubblicazione: (2024)

FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion
di: Wang, Zehan, et al.
Pubblicazione: (2024)

E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling
di: Yuan, Zhihang, et al.
Pubblicazione: (2024)

ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement
di: Rao, Zhefan, et al.
Pubblicazione: (2024)

Translution: Unifying Self-attention and Convolution for Adaptive and Relative Modeling
di: Fan, Hehe, et al.
Pubblicazione: (2025)

Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
di: Baumann, Stefan Andreas, et al.
Pubblicazione: (2024)

Reconstruction Alignment Improves Unified Multimodal Models
di: Xie, Ji, et al.
Pubblicazione: (2025)

Metis-RISE: RL Incentivizes and SFT Enhances Multimodal Reasoning Model Learning
di: Qiu, Haibo, et al.
Pubblicazione: (2025)

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
di: Chen, Hao, et al.
Pubblicazione: (2024)

LayerT2V: A Unified Multi-Layer Video Generation Framework
di: Li, Guangzhao, et al.
Pubblicazione: (2025)

Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
di: Chen, Yi-Chung, et al.
Pubblicazione: (2025)

Text-Driven Image Editing via Learnable Regions
di: Lin, Yuanze, et al.
Pubblicazione: (2023)

VideoPhy: Evaluating Physical Commonsense for Video Generation
di: Bansal, Hritik, et al.
Pubblicazione: (2024)

UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification
di: Pellicer, Alvaro Lopez, et al.
Pubblicazione: (2024)