activity
20242026
collaborators

7 papers

cs.CV2026

Affine-Aligned Atlas for Canonical Gaussian Construction in Video Representation

Masaya Takabe, Hiroshi Watanabe, Sujun Hong +1

Gaussian splatting has recently emerged as an efficient representation for images and videos due to its explicit structure and fast rendering capability. Existing Gaussian-based vi…

eess.IV2026

Resolution-Flexible Decoding for Hybrid Neural Video Representations

Taiga Hayami, Masaya Takabe, Hiroshi Watanabe

Neural video representations (NVRs) represent videos using neural network parameters and, in hybrid formulations, frame-wise latent embeddings. Although hybrid NVRs can improve rec…

cs.CV2025

Accurate and Efficient Surface Reconstruction from Point Clouds via Geometry-Aware Local Adaptation

Eito Ogawa, Taiga Hayami, Hiroshi Watanabe

Point cloud surface reconstruction has improved in accuracy with advances in deep learning, enabling applications such as infrastructure inspection. Recent approaches that reconstr…

cs.CV2025

Structure-Preserving Patch Decoding for Efficient Neural Video Representation

Taiga Hayami, Kakeru Koizumi, Hiroshi Watanabe

Implicit neural representations (INRs) are the subject of extensive research, particularly in their application to modeling complex signals by mapping spatial and temporal coordina…

eess.IV2025

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution

Taiga Hayami, Kakeru Koizumi, Hiroshi Watanabe

Implicit Neural Representations (INRs) have garnered significant attention for their ability to model complex signals in various domains. Recently, INR-based frameworks have shown…

cs.CV2024

Neural Video Representation for Redundancy Reduction and Consistency Preservation

Taiga Hayami, Takahiro Shindo, Shunsuke Akamatsu +1

Implicit neural representation (INR) embed various signals into neural networks. They have gained attention in recent years because of their versatility in handling diverse signal…

cs.CV2024

Implicit Neural Representation for Videos Based on Residual Connection

Taiga Hayami, Hiroshi Watanabe

Video compression technology is essential for transmitting and storing videos. Many video compression methods reduce information in videos by removing high-frequency components and…