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Motion Generation

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Showing 101–150 of 446 papers

TitleStatusHype
AniMo: Species-Aware Model for Text-Driven Animal Motion Generation—0
From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models—0
InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation—0
IM-Zero: Instance-level Motion Controllable Video Generation in a Zero-shot Manner—0
Exploring Timeline Control for Facial Motion Generation—0
Co-Speech Gesture Video Generation with Implicit Motion-Audio Entanglement—0
Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression—0
POMP: Physics-consistent Motion Generative Model through Phase Manifolds—0
A Novel Framework for Learning Stochastic Representations for Sequence Generation and RecognitionCode0
SemTalk: Holistic Co-speech Motion Generation with Frame-level Semantic Emphasis—0
Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer—0
MotiF: Making Text Count in Image Animation with Motion Focal Loss—0
EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space—0
ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model—0
Move-in-2D: 2D-Conditioned Human Motion Generation—0
Motion-2-to-3: Leveraging 2D Motion Data to Boost 3D Motion Generation—0
Light-T2M: A Lightweight and Fast Model for Text-to-motion GenerationCode1
The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion—0
VQTalker: Towards Multilingual Talking Avatars through Facial Motion Tokenization—0
MulSMo: Multimodal Stylized Motion Generation by Bidirectional Control Flow—0
Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold—0
CoMA: Compositional Human Motion Generation with Multi-modal Agents—0
Text-to-3D Gaussian Splatting with Physics-Grounded Motion Generation—0
CigTime: Corrective Instruction Generation Through Inverse Motion Editing—0
SoPo: Text-to-Motion Generation Using Semi-Online Preference OptimizationCode1
RMD: A Simple Baseline for More General Human Motion Generation via Training-free Retrieval-Augmented Motion Diffuse—0
INFP: Audio-Driven Interactive Head Generation in Dyadic Conversations—0
Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis—0
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model—0
Motion Dreamer: Realizing Physically Coherent Video Generation through Scene-Aware Motion ReasoningCode0
Ditto: Motion-Space Diffusion for Controllable Realtime Talking Head SynthesisCode11
MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks—0
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis—0
AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward—0
InfiniDreamer: Arbitrarily Long Human Motion Generation via Segment Score Distillation—0
FTMoMamba: Motion Generation with Frequency and Text State Space Models—0
Rethinking Diffusion for Text-Driven Human Motion Generation—0
SMGDiff: Soccer Motion Generation using diffusion probabilistic models—0
KinMo: Kinematic-aware Human Motion Understanding and Generation—0
Morph: A Motion-free Physics Optimization Framework for Human Motion Generation—0
Constrained Diffusion with Trust SamplingCode1
Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera—0
JoyVASA: Portrait and Animal Image Animation with Diffusion-Based Audio-Driven Facial Dynamics and Head Motion GenerationCode4
A Survey on Vision Autoregressive Model—0
Motion Control for Enhanced Complex Action Video Generation—0
KMM: Key Frame Mask Mamba for Extended Motion GenerationCode1
A Survey of Emerging Approaches and Advances in Video Generation—0
DanceFusion: A Spatio-Temporal Skeleton Diffusion Transformer for Audio-Driven Dance Motion Reconstruction—0
Textual Decomposition Then Sub-motion-space Scattering for Open-Vocabulary Motion Generation—0
MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding—0
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