EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·28d ago·5 min read
Hacker News·28d ago·5 min readFitting Neural Textures and PBR Material Maps with ES (No Backprop)
TL;DR
A novel approach to neural texture and PBR material map optimization was developed, enabling efficient compression without backpropagation. This method enhances texture quality while reducing storage requirements.
✦ Why It Matters
Implement this technique to optimize texture storage in your graphics projects today.
Key Takeaways
- Implement Evolution Strategies for texture optimization in your projects.
- Explore quantization-aware training to improve texture quality.
- Utilize block-compressed neural textures for efficient rendering.
- Adopt derivative-free methods to simplify your optimization processes.
How It Works
The method leverages Evolution Strategies to optimize neural textures and PBR materials without backpropagation. By focusing on latent texture optimization, it allows for efficient exploration of the texture space, leading to high-quality outputs while reducing computational overhead.