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Motion Generation

Papers

Showing 101125 of 446 papers

TitleStatusHype
Constrained Diffusion with Trust SamplingCode1
Exploring Text-to-Motion Generation with Human PreferenceCode1
Conditional Motion In-betweeningCode1
AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention MechanismCode1
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion GenerationCode1
TM2D: Bimodality Driven 3D Dance Generation via Music-Text IntegrationCode1
Weakly-supervised Action Transition Learning for Stochastic Human Motion PredictionCode1
Motion Puzzle: Arbitrary Motion Style Transfer by Body PartCode1
ReorientBot: Learning Object Reorientation for Specific-Posed PlacementCode1
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of MetricsCode0
Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion GenerationCode0
Progressive Human Motion Generation Based on Text and Few Motion FramesCode0
Efficient Text-driven Motion Generation via Latent Consistency TrainingCode0
PaCMO: Partner Dependent Human Motion Generation in Dyadic Human Activity using Neural OperatorsCode0
MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image PairsCode0
Action-conditioned On-demand Motion GenerationCode0
Motion Dreamer: Realizing Physically Coherent Video Generation through Scene-Aware Motion ReasoningCode0
A Novel Framework for Learning Stochastic Representations for Sequence Generation and RecognitionCode0
MDSC: Towards Evaluating the Style Consistency Between Music and DanceCode0
Learning to Shift Attention for Motion GenerationCode0
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent TransitionsCode0
Learning Symmetric and Low-energy LocomotionCode0
KETA: Kinematic-Phrases-Enhanced Text-to-Motion Generation via Fine-grained AlignmentCode0
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural NetworksCode0
IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image ModelsCode0
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