Update README.md

README.md

@@ -1,3 +1,68 @@
 ---
 license: mit
+tags:
+  - diffusion
+  - trajectory-generation
+  - conditional-generation
+  - pytorch
+library_name: pytorch
+pipeline_tag: other
 ---
+
+# Sketch-Guided Trajectory Diffusion
+
+A diffusion model for generating smooth and diverse trajectories conditioned on sparse sketch guidance.
+
+This model explores sketch-conditioned trajectory simulation using denoising diffusion techniques. Given a coarse spatial sketch or trajectory prior, the model generates realistic trajectory samples that preserve the intended global structure while allowing stochastic local variation.
+
+Blog post:  
+https://wezteoh.github.io/posts/diffusion-for-sketch-guided-trajectory-simulation/
+
+Code base:
+Model - https://github.com/wezteoh/gameplay-trajectory-diffusion
+Sketch canvas - https://github.com/wezteoh/gameplay-trajectory-canvas
+
+## Overview
+
+The model learns a conditional diffusion process over trajectory sequences:
+
+- Encode partially observed trajectory guidance
+- Add noise to trajectories during training
+- Learn iterative denoising conditioned on sketches
+- Sample plausible trajectories at inference time
+
+Applications include:
+
+- game AI movement simulation
+- multi-agent gameplay strategy simulation
+- synthetic behavior generation
+
+---
+
+## Model Details
+
+### Inputs
+
+- sparse trajectory sketches
+- trajectory masks
+
+### Outputs
+
+- generated trajectory sequences
+
+### Architecture
+
+- diffusion transformer backbone adapted for spatiotemporal task
+- DPM-solver / iterative DDPM-style sampling
+
+---
+
+## Usage
+
+```python
+python scripts/sample_trajectory_ddpm.py \
+    --checkpoint ckpt_file_path \
+    --num-samples 8 \
+    --input-dir sketches_dir_path \
+    --save-videos
+```