F3.2
Optimize neural network based in-loop filters through iterative training
Liqiang Wang, Xiaozhong Xu, Shan Liu, Tencent, China
Session:
Video Coding II
Track:
Visual data coding and processing
Location:
Almaden Ballroom
Presentation Time:
Fri, 9 Dec, 16:48 - 17:06 PST (UTC -7)
Session Chair:
Xin Zhao, Tencent, USA
Presentation
Discussion
Resources
No resources available.
Session F3
F3.1: A CROSS-COMPONENT PREDICTION MODEL FOR SCREEN CONTENT CODING
Bharath Vishwanath, Kai Zhang, Li Zhang, Bytedance Inc., San Diego, United States of America
F3.2: Optimize neural network based in-loop filters through iterative training
Liqiang Wang, Xiaozhong Xu, Shan Liu, Tencent, China
F3.3: MULTI-STAGE SPATIAL AND FREQUENCY FEATURE FUSION USING TRANSFORMER IN CNN-BASED IN-LOOP FILTER FOR VVC
Birendra Kathariya, Zhu Li, University of Missouri-Kansas City, United States of America; Hongtao Wang, Mohammad Coban, Qualcomm Technologies, Incorporated, United States of America
F3.4: DIFFERENTIABLE BIT-RATE ESTIMATION FOR NEURAL-BASED VIDEO CODEC ENHANCEMENT
Amir Said, Manish Singh, Reza Pourreza, Qualcomm Technologies, Inc., United States of America
F3.5: Piecewise Linear Model Based Local Illumination Compensation Inter Prediction for Video Coding
Chen Wang, Xin Jin, Kedeng Tong, Yuqing Yang, Tsinghua University, China; Huanbang Chen, Haitao Yang, Huawei Technologies Co., Ltd., China