WE5.L3.3
SIAVATAR: ANIMATABLE 3D GAUSSIAN AVATAR FROM A SINGLE IMAGE
Zonghao Lin, Ruiyan Wang, Jun Ling, Li Song, Shanghai Jiao Tong University, China
Session:
WE5.L3: Image and Video Analysis, Synthesis, and Retrieval 4 Lecture
Track:
[IV-ANA] Image and video analysis, synthesis, and retrieval
Location:
Room 1
Presentation Time:
Wed, 17 Sep, 17:00 - 17:15 Anchorage Time (UTC -8)
Session Chair:
Ling Guan, Toronto Metropolitan University and Ryerson University
Presentation
Discussion
Resources
No resources available.
Session WE5.L3
WE5.L3.1: SFS-NERF: ENHANCING GEOMETRY CONSISTENCY IN FEW-SHOT NOVEL VIEW SYNTHESIS THROUGH SURFACE-AWARE NEURAL RENDERING
Seonji Park, Nam Ik Cho, Seoul National University, Korea (South)
WE5.L3.2: ERPGS: EQUIRECTANGULAR IMAGE RENDERING ENHANCED WITH 3D GAUSSIAN REGULARIZATION
Shintaro Ito, Natsuki Takama, Koichi Ito, Tohoku University, Japan; Hwann-Tzong Chen, National Tsing Hua University, Japan; Takafumi Aoki, Tohoku University, Japan
WE5.L3.3: SIAVATAR: ANIMATABLE 3D GAUSSIAN AVATAR FROM A SINGLE IMAGE
Zonghao Lin, Ruiyan Wang, Jun Ling, Li Song, Shanghai Jiao Tong University, China
WE5.L3.4: IterDiff: Training-Free Iterative Face Editing via Efficient CLIP-guided Memory Bank
Chun-Yao Chiu, National Yang Ming Chiao Tung University, Taiwan; Feng-Kai Huang, National Taiwan University, Taiwan; Teng-Fang Hsiao, Hong-Han Shuai, National Yang Ming Chiao Tung University, Taiwan; Wen-Huang Cheng, National Taiwan University, Taiwan
WE5.L3.5: STABLE-INVERTIBLE GRAPH CONVOLUTIONAL NETWORKS FOR LABEL-EFFICIENT SKELETON-BASED RECOGNITION
Hichem Sahbi, CNRS Sorbonne University, France
WE5.L3.6: DIVERSIFYING HUMAN POSE IN SYNTHETIC DATA FOR AERIAL-VIEW HUMAN DETECTION
Yi-Ting Shen, University of Maryland, College Park, United States; Hyungtae Lee, BlueHalo, United States; Heesung Kwon, DEVCOM Army Research Laboratory, United States; Shuvra S. Bhattacharyya, University of Maryland, College Park, United States
Contacts