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@arXiv_csGR_bot@mastoxiv.page
2026-02-02 08:35:40

Screen, Match, and Cache: A Training-Free Causality-Consistent Reference Frame Framework for Human Animation
Jianan Wang, Nailei Hei, Li He, Huanzhen Wang, Aoxing Li, Haofen Wang, Yan Wang, Wenqiang Zhang
arxiv.org/abs/2601.22160 arxiv.org/pdf/2601.22160 arxiv.org/html/2601.22160
arXiv:2601.22160v1 Announce Type: new
Abstract: Human animation aims to generate temporally coherent and visually consistent videos over long sequences, yet modeling long-range dependencies while preserving frame quality remains challenging. Inspired by the human ability to leverage past observations for interpreting ongoing actions, we propose FrameCache, a training-free three-stage framework consisting of Screen, Cache, and Match. In the Screen stage, a multi-dimensional, quality-aware mechanism with adaptive thresholds dynamically selects informative frames; the Cache stage maintains a reference pool using a dynamic replacement-hit strategy, preserving both diversity and relevance; and the Match stage extracts behavioral features to perform motion-consistent reference matching for coherent animation guidance. Extensive experiments on standard benchmarks demonstrate that FrameCache consistently improves temporal coherence and visual stability while integrating seamlessly with diverse baselines. Despite these encouraging results, further analysis reveals that its effectiveness depends on baseline temporal reasoning and real-synthetic consistency, motivating future work on compatibility conditions and adaptive cache mechanisms. Code will be made publicly available.
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@arXiv_csLG_bot@mastoxiv.page
2025-12-22 13:54:45

Replaced article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[3/5]:
- Look-Ahead Reasoning on Learning Platforms
Haiqing Zhu, Tijana Zrnic, Celestine Mendler-D\"unner
arxiv.org/abs/2511.14745 mastoxiv.page/@arXiv_csLG_bot/
- Deep Gaussian Process Proximal Policy Optimization
Matthijs van der Lende, Juan Cardenas-Cartagena
arxiv.org/abs/2511.18214 mastoxiv.page/@arXiv_csLG_bot/
- Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory
Akira Tamamori
arxiv.org/abs/2511.23083 mastoxiv.page/@arXiv_csLG_bot/
- xGR: Efficient Generative Recommendation Serving at Scale
Sun, Liu, Zhang, Wu, Yang, Liang, Li, Ma, Liang, Ren, Zhang, Liu, Zhang, Qian, Yang
arxiv.org/abs/2512.11529 mastoxiv.page/@arXiv_csLG_bot/
- Credit Risk Estimation with Non-Financial Features: Evidence from a Synthetic Istanbul Dataset
Atalay Denknalbant, Emre Sezdi, Zeki Furkan Kutlu, Polat Goktas
arxiv.org/abs/2512.12783 mastoxiv.page/@arXiv_csLG_bot/
- The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
Debu Sinha
arxiv.org/abs/2512.15068 mastoxiv.page/@arXiv_csLG_bot/
- Towards Reproducibility in Predictive Process Mining: SPICE -- A Deep Learning Library
Stritzel, H\"uhnerbein, Rauch, Zarate, Fleischmann, Buck, Lischka, Frey
arxiv.org/abs/2512.16715 mastoxiv.page/@arXiv_csLG_bot/
- Differentially private Bayesian tests
Abhisek Chakraborty, Saptati Datta
arxiv.org/abs/2401.15502 mastoxiv.page/@arXiv_statML_bo
- SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Reda Alami, Alexey Naumov, Eric Moulines
arxiv.org/abs/2402.04114
- Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk
arxiv.org/abs/2408.07588 mastoxiv.page/@arXiv_statML_bo
- Non-Perturbative Trivializing Flows for Lattice Gauge Theories
Mathis Gerdes, Pim de Haan, Roberto Bondesan, Miranda C. N. Cheng
arxiv.org/abs/2410.13161 mastoxiv.page/@arXiv_heplat_bo
- Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules
Sun, Zhang, Xia, Sun, Chen, Yang, Liu, Zhu, Liu
arxiv.org/abs/2410.22674 mastoxiv.page/@arXiv_eessIV_bo
- Targeted Learning for Variable Importance
Xiaohan Wang, Yunzhe Zhou, Giles Hooker
arxiv.org/abs/2411.02221 mastoxiv.page/@arXiv_statML_bo
- Refined Analysis of Federated Averaging and Federated Richardson-Romberg
Paul Mangold, Alain Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines
arxiv.org/abs/2412.01389 mastoxiv.page/@arXiv_statML_bo
- Embedding-Driven Data Distillation for 360-Degree IQA With Residual-Aware Refinement
Abderrezzaq Sendjasni, Seif-Eddine Benkabou, Mohamed-Chaker Larabi
arxiv.org/abs/2412.12667 mastoxiv.page/@arXiv_csCV_bot/
- 3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence
Peter Chen, Bryan Chang, Olivia A Creasey, Julie Beth Sneddon, Zev J Gartner, Yining Liu
arxiv.org/abs/2502.01890 mastoxiv.page/@arXiv_csCV_bot/
- DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
Shashank Sharma, Janina Hoffmann, Vinay Namboodiri
arxiv.org/abs/2502.01956 mastoxiv.page/@arXiv_csRO_bot/
- Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling
Diana Koldasbayeva, Alexey Zaytsev
arxiv.org/abs/2502.03480
- GraphCompNet: A Position-Aware Model for Predicting and Compensating Shape Deviations in 3D Printing
Juheon Lee (Rachel), Lei (Rachel), Chen, Juan Carlos Catana, Hui Wang, Jun Zeng
arxiv.org/abs/2502.09652 mastoxiv.page/@arXiv_csCV_bot/
- LookAhead Tuning: Safer Language Models via Partial Answer Previews
Liu, Wang, Luo, Yuan, Sun, Liang, Zhang, Zhou, Hooi, Deng
arxiv.org/abs/2503.19041 mastoxiv.page/@arXiv_csCL_bot/
- Constraint-based causal discovery with tiered background knowledge and latent variables in single...
Christine W. Bang, Vanessa Didelez
arxiv.org/abs/2503.21526 mastoxiv.page/@arXiv_statML_bo
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