FID (CS): 27.480FID (CV): 31.875
Papers with Code · CC BY-SA 4.0
Human action generation
Yan et al. (2019) CSGN:
"When the dancer is stepping, jumping and spinning on the stage, attentions of all audiences are attracted by the streamof the fluent and graceful movements. Building a model that is capable of dancing is as fascinating a task as appreciating the performance itself. In this paper, we aim to generate long-duration human actions represented as skeleton sequences, e.g. those that cover the entirety of a dance, with hundreds of moves and countless possible combinations."
<span style="color:grey; opacity: 0.6">( Image credit: Convolutional Sequence Generation for Skeleton-Based Action Synthesis )</span>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
벤치마크
Papers with Code 아카이브의 데이터셋별 기록 예시입니다. 평가 조건과 지표 방향이 검증되지 않아 순위를 의미하지 않습니다.
Dataset기록된 모델 예시MetricPaperCode
데이터셋
7개논문
FID (CS): 3.618FID (CV): 4.235
Accuracy: 93.51FID: 34Diversity: 6.56Multimodality: 2.49
FID (CS): 6.030FID (CV): 7.114
MMDa (CS): 0.698MMDs (CS): 0.788MMDa (CV): 0.999MMDs (CV): 1.311
MMDa (CS): 0.338MMDs (CS): 0.402MMDa (CV): 0.371MMDs (CV): 0.398
MMDa (CS): 0.285MMDs (CS): 0.299MMDa (CV): 0.316MMDs (CV): 0.335
라이브러리
Papers with Code 리더보드 row에 연결된 구현 저장소입니다.