POPDG: Popular 3D Dance Generation with PopDanceSetGenerating dances that are both lifelike and well-aligned with music continues to be a challenging task in the cross-modal domain. This paper introduces PopDanceSet, the first dataset tailored to the preferences of young audiences, enabling the generationarxiv.org POPDG: Popular 3D Dance Generation with PopDanceSetZhenye Luo, Min Ren, Xuecai Hu,..

Music-driven group choreography는 다양한 어려움이 있지만, 산업 분야에 응용할 분야가 상당히 많기 때문에 최근 들어 연구가 활발하게 진행되고 있는 분야라고 한다.하지만, 대부분의 최근 연구들은 high-fidelity long-term motion을 만들지 못하거나 controllable한 경험을 허용하지 않는다. 그래서 이 논문에서는 high-quality, customizable한 group dance generation을 consistency와 diversity를 효율적으로 제어함으로써 해결하고자 했다고 한다.구체적으로 diffusion-based 방식을 사용해서 input music에 coherent하면서 flexible한 dancer 수와 long-term group d..

EDGE: Editable Dance Generation from MusicEDGE: Editable Dance Generation from Music, 2022.edge-dance.github.io EDGE: Editable Dance Generation From MusicDance is an important human art form, but creating new dances can be difficult and time-consuming. In this work, we introduce Editable Dance GEneration (EDGE), a state-of-the-art method for editable dance generation that is capable of creating ..

HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure PriorsDespite recent advancements in high-fidelity human reconstruction techniques, the requirements for densely captured images or time-consuming per-instance optimization significantly hinder their applications in broader scenarios. To tackle these issues, wearxiv.org HumanSplat: Generalizable Single-Image Human Gau..

Stacked Hourglass Networks for Human Pose EstimationThis work introduces a novel convolutional network architecture for the task of human pose estimation. Features are processed across all scales and consolidated to best capture the various spatial relationships associated with the body. We show how repeatearxiv.org GitHub - princeton-vl/pytorch_stacked_hourglass: Pytorch implementation of the E..

https://www.matthewtancik.com/nerf NeRF: Neural Radiance FieldsA method for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views.www.matthewtancik.com AbstractWe present a method that achieves SOTA results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene ..