SIGGRAPH Talk on Neural Shading
MonaJalal_ · x · 2026-07-20
This SIGGRAPH presentation focuses on neural shading: using a tiny MLP to map texture coordinates (uv) to RGB colors.
The visual shows a two-layer structure with 32 nodes per layer and 1251 total parameters. It uses Slang to connect layer inputs/outputs and Python to allocate and optimize additional layers. The author shared result images showing that the model's output looks "better/smoother" compared to the reference image.
More from Research
- New paper: Absolute pose estimation from affine cues and gravity direction — ducha_aiki · 2026-09-11
- LoMa Paper Ships REALLY HardPairs Dataset, Accepted at ECCV 2026 — ducha_aiki · 2026-09-11
- Johns Hopkins Launches Full-Stack Hands-on Robot Learning Class with SO-101 Arm Kits — _krishna_murthy · 2026-09-11
- SyncWorld: In-Context Robot World Model Simulates Unseen Views and Embodiments Zero-Shot — ChongZzZhang · 2026-09-11
- A 3D Pose Dataset for Dogs Released — ducha_aiki · 2026-09-11
- Five tells that still make AI video read as AI, from physics glitches to missing operators — NewPhoneWhotiz · 2026-09-11