Rename TCR release and refresh model card

README.md

@@ -11,53 +11,53 @@ tags:
 
 <div align="center">
 
-# Separating What from When
-
-### Fine-Grained Temporal Control for Joint Audio-Video Generation
+## The Missing Temporal Link:<br>Temporal Context Routing for Script-Driven Audio-Video Generation
 
 **Yichen Liu**<sup>1</sup> · **Quanwei Zhang**<sup>2</sup> · **Haozhe Wang**<sup>3</sup> · **Donghao Zhou**<sup>4</sup> · **Xiaojie Li** · **Yang Shi**<sup>2</sup> · **Jiaming Liu**<sup>2</sup> · **Ruihua Huang**<sup>2</sup> · **Yingtian Zou**<sup>5</sup> · **Daquan Zhou**<sup>1</sup>
 
-<sup>1</sup>Peking University · <sup>2</sup>Qwen Business Unit of Alibaba · <sup>3</sup>HKUST · <sup>4</sup>CUHK · <sup>5</sup>Shanghai Jiao Tong University
+<sup>1</sup>Peking University · <sup>2</sup>Qwen Applications · <sup>3</sup>HKUST · <sup>4</sup>CUHK · <sup>5</sup>Shanghai Jiao Tong University
 
-[![Project Page](https://img.shields.io/badge/Project-Page-4d86c4)](https://dagroup-pku.github.io/SEPARATING-WHAT-FROM-WHEN.github.io/)
-[![GitHub](https://img.shields.io/badge/Code-GitHub-24292f?logo=github)](https://github.com/DAGroup-PKU/SEPARATING-WHAT-FROM-WHEN)
-[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97-this%20repo-ffbd2e)](https://huggingface.co/starry0929/Separating-What-From-When)
+[![Project Page](https://img.shields.io/badge/Project-Page-4d86c4)](https://dagroup-pku.github.io/Temporal-Context-Routing.github.io/)
+[![GitHub](https://img.shields.io/badge/Code-GitHub-24292f?logo=github)](https://github.com/DAGroup-PKU/Temporal-Context-Routing)
+[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97-this%20repo-ffbd2e)](https://huggingface.co/starry0929/Temporal-Context-Routing)
 
 </div>
 
-**Temporal Context Routing (TCR)** adds a timing term to text-attention logits so picture and speech are generated as two streams against one shared clock. This repo hosts the released **LoRA** (`separating-what-from-when.safetensors`, ~2.3 GB) and the **200 held-out test prompts** (`test_prompts_200.json`) used in the paper. Training and inference code is at [DAGroup-PKU/SEPARATING-WHAT-FROM-WHEN](https://github.com/DAGroup-PKU/SEPARATING-WHAT-FROM-WHEN). Demos: [project page](https://dagroup-pku.github.io/SEPARATING-WHAT-FROM-WHEN.github.io/).
+**Temporal Context Routing (TCR)** aligns script-specified shot and dialogue timing with the shared video-audio timeline. Timing bypasses the text encoder and enters cross-attention logits as a routing score, separating *what* to generate from *when* it should appear. Built on LTX-2.3 22B, TCR reduces shot-boundary error from **1.11 s to 0.042 s**—about one frame at 24 fps—and raises dialogue timing accuracy from **28.3% to 84.1%**.
+
+This repository hosts the released **LoRA** (`temporal-context-routing.safetensors`, ~2.3 GB) and the **200 held-out test prompts** (`test_prompts_200.json`) used in the paper. Training and inference code is at [DAGroup-PKU/Temporal-Context-Routing](https://github.com/DAGroup-PKU/Temporal-Context-Routing). Demos are available on the [project page](https://dagroup-pku.github.io/Temporal-Context-Routing.github.io/).
 
 ## Files
 
 | File | What it is |
 | --- | --- |
-| `separating-what-from-when.safetensors` | TCR LoRA, rank 128, trained on LTX-2.3 22B (paper 7k-step recipe) |
+| `temporal-context-routing.safetensors` | TCR LoRA, rank 128, trained on LTX-2.3 22B (paper 7k-step recipe) |
 | `test_prompts_200.json` | 200 held-out script JSON files with per-shot / per-line `time_range` |
 
 You still need the **LTX-2.3 22B** checkpoint and the **Gemma 3 12B** text encoder locally. One 80 GB GPU is the working setup.
 
 ```bash
-huggingface-cli download starry0929/Separating-What-From-When \
-  separating-what-from-when.safetensors test_prompts_200.json \
+huggingface-cli download starry0929/Temporal-Context-Routing \
+  temporal-context-routing.safetensors test_prompts_200.json \
   --local-dir ./weights
 ```
 
-Then follow the [code README](https://github.com/DAGroup-PKU/SEPARATING-WHAT-FROM-WHEN#inference):
+Then follow the [code README](https://github.com/DAGroup-PKU/Temporal-Context-Routing#inference):
 
 ```bash
 bash scripts/infer.sh \
   --checkpoint /path/to/ltx-2.3-22b-dev.safetensors \
   --text-encoder-path /path/to/gemma-3-12b-it \
-  --lora-path ./weights/separating-what-from-when.safetensors \
+  --lora-path ./weights/temporal-context-routing.safetensors \
   --output outputs/tcr_infer.mp4
 ```
 
 ## Citation
 
 ```bibtex
-@inproceedings{liu2027separating,
-  title     = {Separating What from When: Fine-Grained Temporal Control
-               for Joint Audio-Video Generation},
+@inproceedings{liu2027missingtemporallink,
+  title     = {The Missing Temporal Link: Temporal Context Routing
+               for Script-Driven Audio-Video Generation},
   author    = {Liu, Yichen and Zhang, Quanwei and Wang, Haozhe and
                Zhou, Donghao and Li, Xiaojie and Shi, Yang and Liu, Jiaming and
                Huang, Ruihua and Zou, Yingtian and Zhou, Daquan},
@@ -68,4 +68,4 @@ bash scripts/infer.sh \
 
 ## License
 
-The LoRA is trained on LTX-2.3 and is intended to be used with that backbone under the [LTX-2 Community License](https://github.com/DAGroup-PKU/SEPARATING-WHAT-FROM-WHEN/blob/main/LICENSE).
+The LoRA is trained on LTX-2.3 and is intended to be used with that backbone under the [LTX-2 Community License](https://github.com/DAGroup-PKU/Temporal-Context-Routing/blob/main/LICENSE).