Denoising diffusion probabilistic models generate high-quality images by learning to reverse a fixed forward diffusion process, achieving FID 3.17 on CIFAR10.
Generative adversarial nets
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A review categorizing 2020-2025 deep learning methods for multi-agent human trajectory prediction by architecture, input representations, and strategies, with emphasis on ETH/UCY benchmark evaluations and future challenges.
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Denoising Diffusion Probabilistic Models
Denoising diffusion probabilistic models generate high-quality images by learning to reverse a fixed forward diffusion process, achieving FID 3.17 on CIFAR10.
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Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review
A review categorizing 2020-2025 deep learning methods for multi-agent human trajectory prediction by architecture, input representations, and strategies, with emphasis on ETH/UCY benchmark evaluations and future challenges.