| --- |
| license: cc-by-4.0 |
| pretty_name: "Syn4D Track4DGEN v3 training caches (conditions, target latents, text embeddings)" |
| viewer: false |
| tags: |
| - 4d |
| - video |
| - synthetic |
| - point-tracking |
| - 3d-bounding-boxes |
| --- |
| |
| # Syn4D Track4DGEN v3 training caches |
|
|
| The GPU stage's outputs for **[HugMinjun/Syn4D-Track4D-v3](https://huggingface.co/datasets/HugMinjun/Syn4D-Track4D-v3)**: |
| memory / control conditions, target latents and caption embeddings for SanaTrack training, made from that dataset's |
| 5,817 windows of [Syn4D](https://huggingface.co/datasets/Syn4D/Syn4D) V1 (revision `bb08d13f`). |
|
|
| This is a derivative of Syn4D, not an official Syn4D release. Please cite Syn4D |
| ([arXiv:2605.05207](https://arxiv.org/abs/2605.05207), [project page](https://jzr99.github.io/Syn4D/)) when you use it. |
|
|
| ## Contents |
|
|
| | | | |
| |---|---| |
| | Pairs | 12,051 memory → target pairs of 33 frames at 15 fps (`manifests/pairs.jsonl`) | |
| | Clips | 5,682 windows | |
| | Conditions | 61,374 files: per clip, `pairs/conditions.zip` with each pair's memory latent, control latents, cameras and object paths | |
| | Target latents | 12,051 files: SANA-WM LTX-2 VAE latents `[128, 5, 22, 40]` of the 33-frame target chunk at 704 × 1280; the first temporal slice is the condition-image latent | |
| | Text | 5,683 files: Gemma-2-2B-it caption embeddings `[1, 300, 2304]` through the SANA-WM text pipeline, plus `negative.safetensors` | |
| | Storage | bf16 latents and embeddings (no int8 quantization) | |
| | Size | 38.4 GiB in uncompressed tar shards | |
|
|
| The condition images are not duplicated here. They are decoded from the windows' `clip.mp4`, which you get from |
| HugMinjun/Syn4D-Track4D-v3. |
|
|
| ## Layout |
|
|
| ``` |
| manifests/pairs.jsonl the training manifest (one row per pair) |
| manifests/loader.json SanaTrack loader entry (paths of the producing server, see below) |
| manifests/plan.json the export plan |
| manifests/selection_report.json, index_b.jsonl instance selection report and the GPU stage's index |
| shards/conditions-<h>.tar v3/conditions/clips/<h>*/... (h = first hex digit of the clip directory) |
| shards/targets-<h>.tar v3/targets/<h>*/... |
| shards/text.tar v3/text/... |
| SHA256SUMS |
| ``` |
|
|
| Tar members are relative to the Syn4D root. Extract every shard into the same root as the CPU release: |
|
|
| ```bash |
| ROOT=/data/Syn4D |
| # 1. clips: the CPU release (tools/syn4d/hf_download.py in Track4DGEN), giving $ROOT/syn4d_tracks/*/*/clip.mp4 |
| # 2. this release |
| hf download HugMinjun/Syn4D-Track4D-v3-training --repo-type dataset --local-dir "$ROOT/training-release" |
| (cd "$ROOT/training-release" && sha256sum -c SHA256SUMS) |
| for t in "$ROOT"/training-release/shards/*.tar; do tar -xf "$t" -C "$ROOT"; done |
| cp "$ROOT"/training-release/manifests/pairs.jsonl "$ROOT"/v3/conditions/pairs.jsonl |
| # 3. the paths in pairs.jsonl / loader.json are the producing server's (/workspace/dataset/Syn4D): map them |
| python scripts/prepare_datasets.py --out configs/main --dataset "$ROOT"/training-release/manifests/loader.json \ |
| --map /workspace/dataset/Syn4D="$ROOT" |
| ``` |
|
|
| ## How it was made |
|
|
| Track4DGEN `tools/syn4d/run_gpu.sh` (branch `datasets/syn4d`, commit `b905d1c`), steps 2–5 of `tools/syn4d/GPU_GUIDE.md`: |
|
|
| 1. Export: memory / control conditions of every pair kept by the instance selection (`dynamic_first_v3`, boxes |
| `gravity_median_box_v1` on Syn4D's ground-truth gravity), `scripts/run_v3_parallel.py --windows --storage-format bf16`. |
| 2. Target latents: `tools/sanatrack/build_pair_targets.py` (SANA-WM bidirectional VAE, `e96271d`). |
| 3. Text: `tools/sanatrack/build_text_cache.py` (gemma-2-2b-it, `569d9809`). |
| 4. Completeness: every pair of `pairs.jsonl` has its target latent and its clip's text embedding. |
|
|
| Produced on 4 × TITAN RTX (Turing, no native bf16). Two changes to `b905d1c` were used: |
|
|
| - The VAE and Gemma computed in **fp32** (`T4D_COMPUTE_DTYPE=fp32` in `ltx2_vae.py` and `tools/sanatrack/sanatrack/sana.py`); |
| outputs are cast to bf16 for storage as usual. Values can differ slightly from a bf16-compute run. |
| - Gravity vectors are passed to the tracking worker in positional notation (`scripts/v3_track_worker.py`): values such as |
| `-8.2e-05` or `-0.0` were otherwise parsed as command-line options and stopped the export. The values are unchanged. |
|
|
| ## License and third-party assets |
|
|
| Released under **CC BY 4.0**, like Syn4D. Syn4D's `LICENSE`, `LICENSES/` and `THIRD_PARTY_NOTICES.md` are included |
| unchanged and apply as they do to Syn4D. Every sequence depends on BEDLAM2 bodies: no BEDLAM2 data is redistributed |
| here, and you must obtain BEDLAM2 from its official source and agree to its license before using these sequences. |
| No rights to third-party assets (Fab / Unreal scenes, Objaverse objects, Google Scanned Objects) are granted. |
|
|
