--- license: apache-2.0 tags: - radiance-fields - novel-view-synthesis - 3d-reconstruction - triangle-splatting - eccv-2026 --- # DETRIS — Deformable Triangle Splatting (pretrained models) Pretrained models for **Deformable Triangle Splatting: Flexible Primitives for Real-Time Radiance Field Rendering** (ECCV 2026). Oriol Jiménez-Ayguadé · Antonio Agudo — Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Barcelona. [Project page](https://orioljim1.github.io/detris/) · [arXiv](https://arxiv.org/abs/2607.22446) · [Code](https://github.com/orioljim1/detris) ## Video [![DETRIS — 4-minute explainer](https://img.youtube.com/vi/Iw9iJuaC3cQ/maxresdefault.jpg)](https://youtu.be/Iw9iJuaC3cQ) ## Contents Final (30 000-iteration) checkpoints for **11 scenes**: - **Mip-NeRF 360** (9): bicycle, bonsai, counter, flowers, garden, kitchen, room, stump, treehill - **Tanks & Temples** (2): train, truck Each scene folder contains: ``` / ├── cfg_args # training configuration ├── cameras.json # camera parameters ├── input.ply # initial point cloud ├── results.json, per_view.json # evaluation metrics ├── events.out.tfevents.* # training log (TensorBoard) └── point_cloud/iteration_30000/ ├── point_cloud_state_dict.pt # trained DETRIS primitives └── hyperparameters.pt ``` ## Usage ```bash # 1. clone the code git clone --recursive https://github.com/orioljim1/detris cd detris # 2. download & extract this release # (e.g. with the huggingface_hub CLI) hf download Orioljim/detris-models detris_models.zip --local-dir . unzip detris_models.zip # 3. render a scene (see the code repo README for full options) python render.py -m main_results/mipnerf360/garden ``` See the [code repository](https://github.com/orioljim1/detris) for training, evaluation, and rendering instructions. ## License Released under the **Apache License 2.0**. See `LICENSE.md` in the [code repository](https://github.com/orioljim1/detris). ## Citation ```bibtex @inproceedings{JimenezAyguade2026Deformable, title = {Deformable Triangle Splatting: Flexible Primitives for Real-Time Radiance Field Rendering}, author = {Jiménez-Ayguadé, Oriol and Agudo, Antonio}, booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)}, year = {2026}, } ```