TTB strategy released
The story so far
Test-Time Baking (TTB) strategy enhances the fidelity of new view decoding in large view synthesis models (LVSMs) by baking global scene information from cross-view attention into lightweight MLPs, while maintaining Test-Time Training efficiency. This strategy achieves up to 23 times faster rendering speed in multiple benchmarks, with quality comparable to current state-of-the-art techniques.
AI-written from the reports · Updated 15 hours ago
Coverage timeline
Follow the coverage to see every side of the story.
- Hugging Face Daily PapersTest-Time Baking (TTB) released: A strategy for efficiently rendering decoder-only large-view synthesis models
Test-Time Baking (TTB) strategy enhances the fidelity of new-view decoding for large-view synthesis models (LVSMs) by baking global scene information from cross-view attention into lightweight MLPs, while maintaining Test-Time Training efficiency. It achieves up to 23x rendering speed improvement with quality comparable to current state-of-the-art techniques on multiple benchmarks.
Heat over time
- Now
- 3
- Peak
- 514 Nov, 11:00
- 24h change
- –
Hover or tap the chart to see each hour; use the arrow keys on a keyboard.