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Found 3 papers, 2 papers with code
FIFO-Diffusion: Generating Infinite Videos from Text without Training
We propose a novel inference technique based on a pretrained diffusion model for text-conditional video generation.
Observation-Guided Diffusion Probabilistic Models
We propose a novel diffusion-based image generation method called the observation-guided diffusion probabilistic model (OGDM), which effectively addresses the tradeoff between quality control and fast sampling.
Open-Set Representation Learning through Combinatorial Embedding
Visual recognition tasks are often limited to dealing with a small subset of classes simply because the labels for the remaining classes are unavailable.
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