3 papers
cs.LG2024
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning
Seyeon Kim, Joonhun Lee, Namhoon Cho +2
Conventional uncertainty-aware temporal difference (TD) learning often models TD errors as zero-mean Gaussian. This assumption can miss the heavy-tailed and heteroscedastic residua…
cs.CV2024
Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation
Kihong Kim, Haneol Lee, Jihye Park +4
Generating high-quality videos that synthesize desired realistic content is a challenging task due to their intricate high-dimensionality and complexity of videos. Several recent d…
cs.CV2024
MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation
Seyeon Kim, Siyoon Jin, Jihye Park +4
Conventional GAN-based models for talking head generation often suffer from limited quality and unstable training. Recent approaches based on diffusion models aimed to address thes…