Copertina

LILAC: Long-sequence Incremental Low-latency Arbitrary Motion Stylization via Streaming VAE-Diffusion with Causal Decoding

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ren, Peng, Yang, Hai
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Stylized Text-to-Motion Generation via Hypernetwork-Driven Low-Rank Adaptation
di: Jeon, Junhyuk, et al.
Pubblicazione: (2026)

REED-VAE: RE-Encode Decode Training for Iterative Image Editing with Diffusion Models
di: Almog, Gal, et al.
Pubblicazione: (2025)

FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
di: Hu, Chen, et al.
Pubblicazione: (2024)

Spatio-Temporal Branching for Motion Prediction using Motion Increments
di: Wang, Jiexin, et al.
Pubblicazione: (2023)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
di: Tang, Feilong, et al.
Pubblicazione: (2025)

Closed-Loop Unsupervised Representation Disentanglement with $β$-VAE Distillation and Diffusion Probabilistic Feedback
di: Jin, Xin, et al.
Pubblicazione: (2024)

LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
di: Sadat, Seyedmorteza, et al.
Pubblicazione: (2024)

Balanced Image Stylization with Style Matching Score
di: Jiang, Yuxin, et al.
Pubblicazione: (2025)

StreamDiffusionV2: A Streaming System for Dynamic and Interactive Video Generation
di: Feng, Tianrui, et al.
Pubblicazione: (2025)

REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
di: Leng, Xingjian, et al.
Pubblicazione: (2025)

SVGFusion: A VAE-Diffusion Transformer for Vector Graphic Generation
di: Xing, Ximing, et al.
Pubblicazione: (2024)

Elucidating the Design Space of Arbitrary-Noise-Based Diffusion Models
di: Qiu, Xingyu, et al.
Pubblicazione: (2025)

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
di: Louiset, Robin, et al.
Pubblicazione: (2023)

Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams
di: Swinnen, Jonathan, et al.
Pubblicazione: (2026)

VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models
di: Bi, Tianci, et al.
Pubblicazione: (2025)

MotionStream: Real-Time Video Generation with Interactive Motion Controls
di: Shin, Joonghyuk, et al.
Pubblicazione: (2025)

Large VLM-based Stylized Sports Captioning
di: Dhar, Sauptik, et al.
Pubblicazione: (2025)

A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge
di: Mahmud, Hasanul, et al.
Pubblicazione: (2024)

MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE
di: Zhu, Ruijie, et al.
Pubblicazione: (2026)

Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding
di: Xiao, Zhongyu, et al.
Pubblicazione: (2026)

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
di: Liu, Songhua, et al.
Pubblicazione: (2024)

CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
di: Sun, Jiarui, et al.
Pubblicazione: (2023)

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
di: Zhuang, Huiping, et al.
Pubblicazione: (2024)

Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering
di: Wang, Peng, et al.
Pubblicazione: (2024)

Stylized Synthetic Augmentation further improves Corruption Robustness
di: Siedel, Georg, et al.
Pubblicazione: (2025)

CASHG: Context-Aware Stylized Online Handwriting Generation
di: Shin, Jinsu, et al.
Pubblicazione: (2026)

Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
di: Qi, Zhi-Hong, et al.
Pubblicazione: (2024)

Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
di: Li, Xiao, et al.
Pubblicazione: (2025)

Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
di: Yang, Yanlai, et al.
Pubblicazione: (2025)

Multimodal ELBO with Diffusion Decoders
di: Wesego, Daniel, et al.
Pubblicazione: (2024)

Quantize-then-Rectify: Efficient VQ-VAE Training
di: Zhang, Borui, et al.
Pubblicazione: (2025)

Bridging the Simulation-to-Reality Gap in Electron Microscope Calibration via VAE-EM Estimation
di: van Hulst, Jilles S., et al.
Pubblicazione: (2026)

SR$^2$-LoRA: Self-Rectifying Inter-layer Relations in Low-Rank Adaptation for Class-Incremental Learning
di: Wan, Fengqiang, et al.
Pubblicazione: (2026)

C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention
di: Li, Xiaohe, et al.
Pubblicazione: (2024)

Flexible Motion In-betweening with Diffusion Models
di: Cohan, Setareh, et al.
Pubblicazione: (2024)

MotionMatcher: Motion Customization of Text-to-Video Diffusion Models via Motion Feature Matching
di: Wu, Yen-Siang, et al.
Pubblicazione: (2025)

Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
di: Zhou, Da-Wei, et al.
Pubblicazione: (2024)

RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
di: Fan, Xiang, et al.
Pubblicazione: (2026)

Dance Like a Chicken: Low-Rank Stylization for Human Motion Diffusion
di: Sawdayee, Haim, et al.
Pubblicazione: (2025)

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
di: Yu, Sihyun, et al.
Pubblicazione: (2024)