Cover Image

Human Motion Unlearning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	De Matteis, Edoardo, Migliarini, Matteo, Sampieri, Alessio, Spinelli, Indro, Galasso, Fabio
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Social EgoMesh Estimation
by: Scofano, Luca, et al.
Published: (2024)

Video Unlearning via Low-Rank Refusal Vector
by: Facchiano, Simone, et al.
Published: (2025)

Length-Aware Motion Synthesis via Latent Diffusion
by: Sampieri, Alessio, et al.
Published: (2024)

Following the Human Thread in Social Navigation
by: Scofano, Luca, et al.
Published: (2024)

MonSTeR: a Unified Model for Motion, Scene, Text Retrieval
by: Collorone, Luca, et al.
Published: (2025)

MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization
by: Pappa, Massimiliano, et al.
Published: (2024)

PhysTalk: Language-driven Real-time Physics in 3D Gaussian Scenes
by: Collorone, Luca, et al.
Published: (2025)

About latent roles in forecasting players in team sports
by: Scofano, Luca, et al.
Published: (2023)

OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras
by: Rahman, Muhammad Rameez Ur, et al.
Published: (2024)

Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
by: Flaborea, Alessandro, et al.
Published: (2023)

SeRpEnt: Selective Resampling for Expressive State Space Models
by: Rando, Stefano, et al.
Published: (2025)

CaTS-Bench: Can Language Models Describe Time Series?
by: Zhou, Luca, et al.
Published: (2025)

Adaptive Point Transformer
by: Baiocchi, Alessandro, et al.
Published: (2024)

PREGO: online mistake detection in PRocedural EGOcentric videos
by: Flaborea, Alessandro, et al.
Published: (2024)

TI-PREGO: Chain of Thought and In-Context Learning for Online Mistake Detection in PRocedural EGOcentric Videos
by: Plini, Leonardo, et al.
Published: (2024)

FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases
by: Poggi, Matteo, et al.
Published: (2025)

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm
by: Guo, Ziyan, et al.
Published: (2025)

Maps from Motion (MfM): Generating 2D Semantic Maps from Sparse Multi-view Images
by: Toso, Matteo, et al.
Published: (2024)

Quantifying Self-Preservation Bias in Large Language Models
by: Migliarini, Matteo, et al.
Published: (2026)

SafeMo: Linguistically Grounded Unlearning for Trustworthy Text-to-Motion Generation
by: Wang, Yiling, et al.
Published: (2026)

6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model
by: Bortolon, Matteo, et al.
Published: (2024)

MotionLLM: Understanding Human Behaviors from Human Motions and Videos
by: Chen, Ling-Hao, et al.
Published: (2024)

AtomicMotion: Learning Human Motion From Different Human Parts
by: Liu, Runzhen, et al.
Published: (2026)

Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation
by: di Melendugno, Guido Maria D'Amely, et al.
Published: (2024)

GazeMotion: Gaze-guided Human Motion Forecasting
by: Hu, Zhiming, et al.
Published: (2024)

PRAGO: Differentiable Multi-View Pose Optimization From Objectness Detections
by: Taiana, Matteo, et al.
Published: (2024)

Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
by: Zhang, Zeyu, et al.
Published: (2024)

FrankenMotion: Part-level Human Motion Generation and Composition
by: Li, Chuqiao, et al.
Published: (2026)

LingoMotion: An Interpretable and Unambiguous Symbolic Representation for Human Motion
by: Zhang, Yao, et al.
Published: (2026)

SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction
by: Li, Zhengyuan, et al.
Published: (2025)

InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
by: Wang, Haofan, et al.
Published: (2024)

IFFNeRF: Initialisation Free and Fast 6DoF pose estimation from a single image and a NeRF model
by: Bortolon, Matteo, et al.
Published: (2024)

HumanScore: Benchmarking Human Motions in Generated Videos
by: Fang, Yusu, et al.
Published: (2026)

Unlearning Personal Data from a Single Image
by: De Min, Thomas, et al.
Published: (2024)

CoMA: Compositional Human Motion Generation with Multi-modal Agents
by: Sun, Shanlin, et al.
Published: (2024)

Progressive Human Motion Generation Based on Text and Few Motion Frames
by: Zeng, Ling-An, et al.
Published: (2025)

Text-driven Human Motion Generation with Motion Masked Diffusion Model
by: Chen, Xingyu
Published: (2024)

DrawMotion: Generating 3D Human Motions by Freehand Drawing
by: Wang, Tao, et al.
Published: (2026)

Encoder-Free Human Motion Understanding via Structured Motion Descriptions
by: Zhang, Yao, et al.
Published: (2026)

MotionCharacter: Fine-Grained Motion Controllable Human Video Generation
by: Fang, Haopeng, et al.
Published: (2024)