2 papers
cs.CV2026
Few-step Generative Models as Lossy Compression
Fuma Kimishima, Jinjia Zhou
DiffC provides a principled way to reuse pre-trained diffusion models for lossy compression, but its encoding and decoding procedures remain slow because they require many discreti…
eess.IV2025
Bidirectional Learned Facial Animation Codec for Low Bitrate Talking Head Videos
Riku Takahashi, Ryugo Morita, Fuma Kimishima +2
Existing deep facial animation coding techniques efficiently compress talking head videos by applying deep generative models. Instead of compressing the entire video sequence, thes…