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Found 5 papers, 2 papers with code
LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model
In this paper, we introduce LGTM, a novel Local-to-Global pipeline for Text-to-Motion generation.
InterFusion: Text-Driven Generation of 3D Human-Object Interaction
In this study, we tackle the complex task of generating 3D human-object interactions (HOI) from textual descriptions in a zero-shot text-to-3D manner.
Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation
Recent years have witnessed the strong power of 3D generation models, which offer a new level of creative flexibility by allowing users to guide the 3D content generation process through a single image or natural language.
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network
It results in a serious issue of lagged gradient, making the learned attack at the current step ineffective due to the architecture changes afterward.
A Dynamic Keypoints Selection Network for 6DoF Pose Estimation
Given an RGBD image, our network is trained to predict pixel category and the translation to edge points and center points.
