Probability-Flow Distillation: Distribution Matching in Parameter Space

arXiv:2605.09071 · cs.CV · Submitted 2026-05-09 · Read on arXiv

cs.CV

Submitted: 2026-05-09

Updated: 2026-09-18

Code: https://github.com/threestudio-project/threestudio

Terminology

• Distillation — 42× in this paper · explained in 2 episodes
• Diffusion Model — 20× in this paper · explained in 8 episodes
• Gradient Flow — 14× in this paper · explained in 2 episodes
• Diffusion Models — 11× in this paper · explained in 6 episodes
• Fidelity — 9× in this paper · explained in 2 episodes
• Probability-Flow Distillation — 9× in this paper
• Alignment — 6× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition — 4× in this paper
• Score Distillation Sampling — 4× in this paper
• Score Function — 4× in this paper · explained in 4 episodes
• Variational Score Distillation — 4× in this paper
• Adaptation — 3× in this paper · explained in 1 episode
• Classifier-Free Guidance — 3× in this paper
• Distribution Matching — 3× in this paper · explained in 2 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• International Conference on Computer Vision — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Classifier Score Distillation — 2× in this paper
• Computational overhead — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Diffusion Process — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Mode Collapse — 2× in this paper · explained in 2 episodes
• Optimal Transport — 2× in this paper · explained in 5 episodes
• Score Distillation with Inversion — 2× in this paper
• Adam — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Langevin Dynamics — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Variance Exploding — 1× in this paper

Sources

• High-Resolution Image Synthesis with Latent Diffusion Models
• Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond

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