MA2.L5.1
Best Paper Candidate
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FREQ-MIP-AA : FREQUENCY MIP REPRESENTATION FOR ANTI-ALIASING NEURAL RADIANCE FIELDS
Youngin Park, Sungkyunkwan University, Samsung Electronics, Korea, Republic of; Seungtae Nam, Sungkyunkwan University, Korea, Republic of; Cheul-hee Hahm, Samsung Electronics, Korea, Republic of; Eunbyung Park, Sungkyunkwan University, Korea, Republic of
Session:
MA2.L5: 3D Image and Video Analysis and Compression - I Lecture
Track:
Three-Dimensional Image and Video Processing
Location:
Capital Suite - 17
Presentation Time:
Mon, 28 Oct, 10:30 - 10:48 Gulf Standard Time (UTC +4)
Session Chair:
Carlos Vazquez, École de technologie supérieure - ETS, Montréal, Canada
Session MA2.L5
Best Paper Candidate
MA2.L5.1: FREQ-MIP-AA : FREQUENCY MIP REPRESENTATION FOR ANTI-ALIASING NEURAL RADIANCE FIELDS
Youngin Park, Sungkyunkwan University, Samsung Electronics, Korea, Republic of; Seungtae Nam, Sungkyunkwan University, Korea, Republic of; Cheul-hee Hahm, Samsung Electronics, Korea, Republic of; Eunbyung Park, Sungkyunkwan University, Korea, Republic of
MA2.L5.2: TEMPORAL SCALABLE CODING FOR DYNAMIC MESHES
Jianfeng Xu, Haruhisa Kato, Kei Kawamura, KDDI Research, Inc., Japan
Top 5%
MA2.L5.3: JOINTRF: END-TO-END JOINT OPTIMIZATION FOR DYNAMIC NEURAL RADIANCE FIELD REPRESENTATION AND COMPRESSION
Zihan Zheng, Houqiang Zhong, Qiang Hu, Xiaoyun Zhang, Li Song, Ya Zhang, Yanfeng Wang, Shanghai Jiao Tong University, China
MA2.L5.4: AN INDOOR SCENE LOCALIZATION METHOD USING GRAPHICAL SUMMARY OF MULTI-VIEW RGB-D IMAGES
PREETI MEENA, HIMANSHU KUMAR, SANDEEP YADAV, IIT JODHPUR, India
Top 5%
MA2.L5.5: Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression
Viet Ho Tam Thuc Do, York University, Canada; Philip A. Chou, packet.media, United States of America; Gene Cheung, York University, Canada
Contacts