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20242026
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cs.CV2026

Controllable Text-to-Motion Generation via Modular Body-Part Phase Control

Minyue Dai, Ke Fan, Anyi Rao +2

Text-to-motion (T2M) generation is becoming a practical tool for animation and interactive avatars. However, modifying specific body parts while maintaining overall motion coherenc…

cs.CV2024

RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting

Qi Wang, Ruijie Lu, Xudong Xu +5

The advancement of diffusion models has pushed the boundary of text-to-3D object generation. While it is straightforward to composite objects into a scene with reasonable geometry,…

cs.CV2024

PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios

Jingbo Wang, Zhengyi Luo, Ye Yuan +2

We address the challenge of content diversity and controllability in pedestrian simulation for driving scenarios. Recent pedestrian animation frameworks have a significant limitati…

cs.CV2024

TELA: Text to Layer-wise 3D Clothed Human Generation

Junting Dong, Qi Fang, Zehuan Huang +4

This paper addresses the task of 3D clothed human generation from textural descriptions. Previous works usually encode the human body and clothes as a holistic model and generate t…

cs.CV2024

SemGrasp: Semantic Grasp Generation via Language Aligned Discretization

Kailin Li, Jingbo Wang, Lixin Yang +2

Generating natural human grasps necessitates consideration of not just object geometry but also semantic information. Solely depending on object shape for grasp generation confines…

cs.CV2024

MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model

Wenxun Dai, Ling-Hao Chen, Jingbo Wang +3

This work introduces MotionLCM, extending controllable motion generation to a real-time level. Existing methods for spatial-temporal control in text-conditioned motion generation s…