PVD
[NeurIPS 2026] Two Halves are More than One: Phase-wise Velocity Distillation for Fast and High-Quality Image Generation
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Details
- External ID
- 1408117437
- Source
- GITHUB
- Company
- —
- Product
- PVD
- Website domain
- github.com
- Launched
- Oct. 7, 2026
- Cohort
- —
- Upvotes
- 10
- Upvotes percentile
- 0.08
- Tags
- —
Enrichment
- Niche
- video generation and vision infrastructure
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- velocity distillation algorithm for fast image generation
- Manually corrected
- False
Could you build this?
No This is cutting-edge academic machine learning research on phase-wise velocity distillation for generative diffusion/flow models accepted at top AI conferences.
What it would actually take: Requires PyTorch, CUDA, deep mathematical expertise in flow matching and diffusion SDE/ODEs, and high-performance GPU clusters to train and distill large image models. The novel distillation loss functions, trajectory scheduling, and hyperparameter tuning represent scientific ML research beyond standard code generation.
Competitors
Other products that read as similar to this one — 1364 launches clear the similarity bar, closest 8 shown.
Attention rank: #1237 of 1365 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 341 days after the earliest competitor.
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