Abstract: Has the day we all have been waiting for really arrived? Have advances in deep learning and machine learning (ML) finally reached a turning point and have started to produce “accurate enough ...
Abstract: Markov Chain Monte Carlo (MCMC) is a method for drawing samples from non-standard probability distributions. Hamiltonian Monte Carlo (HMC) is a popular variant of MCMC that uses gradient ...
Supports most practical Explicit Runge-Kutta (ERK) methods. Tested on SD1.5, SDXL, and SD3. Decrease it to set more strict tolerances (better results) in exchange for slower inference times. Increase ...
Understanding real-world videos with complex semantics and long temporal dependencies remains a fundamental challenge in computer vision. Recent progress in multimodal large language models (MLLMs) ...
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