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Found 6 papers, 5 papers with code
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
Our findings provide insights into the efficiency of the conditional denoising process that contribute to more practical and swift deployment of text-conditioned diffusion models.
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge.
SEPAL: Spatial Gene Expression Prediction from Local Graphs
Spatial transcriptomics is an emerging technology that aligns histopathology images with spatially resolved gene expression profiling.
Guarding the Guardians: Automated Analysis of Online Child Sexual Abuse
Online violence against children has increased globally recently, demanding urgent attention.
BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis
To the best of our knowledge, this is the first approach that uses the reverse diffusion process to model full-body tracking as a conditional sequence generation task.
Generalized Real-World Super-Resolution through Adversarial Robustness
Instead of learning a dataset-specific degradation, we employ adversarial attacks to create difficult examples that target the model's weaknesses.
