#prodiff
November 8, 2026 at 7:06 PM
Just finishing spaffing to having my face smothered and I'm still not in cuffs, so if that's still true in 40 minutes I'll be live right RE4R!
twitch.tv/kalihanlive

#twitchstreaming #livestreaming #uknews #residentevil #residentevil #re4r #prodiff #uk #uknews #jokes #vibes
KalihanLIVE - Twitch
Hi there! My name is Kalihan, I love to stream, and I love to "archive games". What I mean by this, is in an age where video games are being taken offline and off store fronts or forgotten as physical...
twitch.tv
November 6, 2026 at 7:23 PM
diffusion probabilistic model for robust spatiotemporal reconstruction. Joint training with a tailored loss function ensures effective imputation. ProDiff outperforms state-of-the-art methods, improving accuracy by 6.28\% on FourSquare and 2.52\% on [4/5 of https://arxiv.org/abs/2505.23048v1]
May 30, 2025 at 6:06 AM
of large-scale human trajectory embeddings. To address this, we propose ProDiff, a trajectory imputation framework that uses only two endpoints as minimal information. It integrates prototype learning to embed human movement patterns and a denoising [3/5 of https://arxiv.org/abs/2505.23048v1]
May 30, 2025 at 6:06 AM
Tianci Bu, Le Zhou, Wenchuan Yang, Jianhong Mou, Kang Yang, Suoyi Tan, Feng Yao, Jingyuan Wang, Xin Lu: ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation https://arxiv.org/abs/2505.23048 https://arxiv.org/pdf/2505.23048 https://arxiv.org/html/2505.23048
May 30, 2025 at 6:06 AM