A method for scene synthesis from human motion is described. The method includes computing three-dimensional (3D) human pose trajectories of human motion in a scene. The method also includes generating contact labels of unseen objects in the scene based on the computing of the 3D human pose ...
We revisit human motion synthesis, a task useful in various real world applications, in this paper. Whereas a number of methods have been developed previously for this task, they are often limited in two aspects: focusing on the poses while leaving the location movement behind, and ignoring the...
ATISS: Autoregressive Transformers for Indoor Scene Synthesis。给定floor plane生成scene,但是不考虑人物动作 Pose2Room: Understanding 3D Scenes from Human Activities。根据人物pose轨迹预测只预测接触物体,不预测非接触物体,也不接受输入平面图 3. Method 提出了一个human-aware自回归模型,模型接受如下输入:人体moti...
Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion no code yet • 30 Jan 2025 Our method uses raymap conditioning to both augment visual features with spatial information from different viewpoints, as well as to guide the generation of images and depth maps from ...
present a novel data-driven, stochastic motion synthesis method that models different styles of performing a given action with a target object. Our method, called SAMP, for Scene-Aware Motion Prediction, generalizes to target objects of various geometries while enabling the character to navigate in ...
To improve the synthesis or completion of 3D environments, the disclosed techniques train and execute a machine learning model to iteratively convert an incomplete representation of a 3D scene into a more complete representation of the same 3D scene. For example, the machine learning model may incre...
PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI| CVPR 2024 |github|project Awesome-Indoor-Scene-Synthesis is released under theMIT license. Citation If you find this project useful in your research, please consider citing: ...
(1999). A morphable model for the synthesis of 3D faces. In SIGGRAPH 99: Proceedings of the 26th annual conference on computer graphics and interactive techniques (pp. 187–194). ACM Press. Box, G. E. P., & Draper, N. R. (1987). Empirical model-building and response surfaces. New ...
[30] Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis [36] Generating 3D People in Scenes without People:训练了cVAE接收场景深度和语义来预测人体pose [37] COINS: Compositional Human-Scene Interaction Synthesis with Semantic Control:将交互的语义控制形式化为动作和对象的组合。然而,当面对...
GaussianFlow solves the problems of 4D scene dynamics monitoring, 4D new view synthesis, and Gaussian body color drift well. 4D scene reconstruction techniques require models with strong tracking ability for light transformations during motion. In contrast, the basic 3D GS models focus on the ...