Cover Image

MCM: Multi-condition Motion Synthesis Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ling, Zeyu, Han, Bo, Wongkan, Yongkang, Lin, Han, Kankanhalli, Mohan, Geng, Weidong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MCM: Multi-condition Motion Synthesis Framework for Multi-scenario
by: Ling, Zeyu, et al.
Published: (2023)

Learning to Predict Gradients for Semi-Supervised Continual Learning
by: Luo, Yan, et al.
Published: (2022)

Finetuning Text-to-Image Diffusion Models for Fairness
by: Shen, Xudong, et al.
Published: (2023)

VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension
by: Ling, Zeyu, et al.
Published: (2024)

STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting
by: Chai, Zenghao, et al.
Published: (2024)

Object-Centric Framework for Video Moment Retrieval
by: Li, Zongyao, et al.
Published: (2025)

Fair Deepfake Detectors Can Generalize
by: Cheng, Harry, et al.
Published: (2025)

Explicit View-labels Matter: A Multifacet Complementarity Study of Multi-view Clustering
by: Geng, Chuanxing, et al.
Published: (2022)

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

MCM: Multi-layer Concept Map for Efficient Concept Learning from Masked Images
by: Sun, Yuwei, et al.
Published: (2025)

ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model
by: Lu, Shunlin, et al.
Published: (2024)

ELIP: Efficient Discriminative Language-Image Pre-training with Fewer Vision Tokens
by: Guo, Yangyang, et al.
Published: (2023)

ASAP: Attention-Shift-Aware Pruning for Efficient LVLM Inference
by: Pathak, Surendra, et al.
Published: (2026)

SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency
by: Guo, Yangyang, et al.
Published: (2024)

Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
by: Yu, Geng, et al.
Published: (2024)

MimiCAT: Mimic with Correspondence-Aware Cascade-Transformer for Category-Free 3D Pose Transfer
by: Chai, Zenghao, et al.
Published: (2025)

GroMo: Plant Growth Modeling with Multiview Images
by: Bhatt, Ruchi, et al.
Published: (2025)

CLIP-driven Outliers Synthesis for few-shot OOD detection
by: Sun, Hao, et al.
Published: (2024)

CoMotion: Concurrent Multi-person 3D Motion
by: Newell, Alejandro, et al.
Published: (2025)

Golden Noise for Diffusion Models: A Learning Framework
by: Zhou, Zikai, et al.
Published: (2024)

Improving Adversarial Energy-Based Model via Diffusion Process
by: Geng, Cong, et al.
Published: (2024)

Fleximo: Towards Flexible Text-to-Human Motion Video Generation
by: Zhang, Yuhang, et al.
Published: (2024)

Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies
by: Pathak, Surendra, et al.
Published: (2026)

General-Purpose Multi-Modal OOD Detection Framework
by: Duong, Viet, et al.
Published: (2023)

ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object Detection
by: Ghita, Ahmed, et al.
Published: (2024)

A Sober Look at the Robustness of CLIPs to Spurious Features
by: Wang, Qizhou, et al.
Published: (2024)

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
by: Deng, Kaiyuan, et al.
Published: (2026)

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation
by: Song, Han, et al.
Published: (2026)

Riemannian Motion Generation: A Unified Framework for Human Motion Representation and Generation via Riemannian Flow Matching
by: Miao, Fangran, et al.
Published: (2026)

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
by: Du, Chaoqun, et al.
Published: (2024)

TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment
by: Li, Wei, et al.
Published: (2024)

Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts
by: Liu, Zhili, et al.
Published: (2024)

M3Bench: Benchmarking Whole-body Motion Generation for Mobile Manipulation in 3D Scenes
by: Zhang, Zeyu, et al.
Published: (2024)

SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
by: Pan, Jiayi, et al.
Published: (2025)

PRISM: Streaming Human Motion Generation with Per-Joint Latent Decomposition
by: Ling, Zeyu, et al.
Published: (2026)

DC-Merge: Improving Model Merging with Directional Consistency
by: Zhang, Han-Chen, et al.
Published: (2026)

Multi-conditioned Graph Diffusion for Neural Architecture Search
by: Asthana, Rohan, et al.
Published: (2024)

MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
by: Tian, Hongduan, et al.
Published: (2024)

Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers
by: Li, Zeyu Michael
Published: (2024)

Dynamic Against Dynamic: An Open-set Self-learning Framework
by: Yang, Haifeng, et al.
Published: (2024)