This paper presents a new approach for music style transfer using diffusion models. This approach effectively captures musical attributes with minimal data and introduces a novel time-varying textual inversion module…
Continue readingThe paper introduces a new method, Diffusion-ES, that combines gradient-free optimization with trajectory denoising to optimize non-differentiable objectives. This method is particularly useful in autonomous driving scenarios. Diffusion-ES samples trajectories…
Continue readingThe paper introduces a new category of diffusion models built on state space architecture for image data. These models, called Diffusion State Space Models (DiS), treat all inputs including time,…
Continue readingThis article introduces DiffSpeaker, a new model for speech-driven 3D facial animation. Traditional models use either Diffusion models or Transformer architectures, but these have limitations due to the shortage of…
Continue readingThe study presents InstaGen, a novel method to enhance object detector’s ability by training on synthetic dataset generated from diffusion models. The authors integrated an instance-level grounding head into a…
Continue readingThe article studies the problem of training diffusion models to sample from a distribution with a given unnormalized density or energy function. It benchmarks several diffusion-structured inference methods, including simulation-based…
Continue readingThis research presents ‘Mobile Fitting Room’, an innovative on-device system for virtual try-on experiences. It uses diffusion models to overcome the challenges of traditional try-on methods adapting to different backgrounds,…
Continue readingThe paper discusses the challenge of training general robotic policies from heterogeneous data for various tasks. Current methods often use data from one domain, which is both expensive and difficult….
Continue readingThe article introduces DexDiffuser, a novel method for dexterous grasping that generates, evaluates, and refines grasps on partial object point clouds. DexDiffuser includes DexSampler, a new conditional diffusion-based dexterous grasp…
Continue readingThis article delves into the application of game theory in studying cyber attacker and defender behaviors. It critiques the inherent limitations due to game theory’s roots in economics where players…
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