CaiYuanhao/HDR-GS
AI model by CaiYuanhao
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting NeurIPS 2024 [](https://arxiv.org/abs/2405.15125) [](https://arxiv.org/abs/2405.15125) [](https://github.com/caiyuanhao1998/HDR-GS) [](https://huggingface.co/datasets/CaiYuanhao/HDR-GS) [](https://huggingface.co/CaiYuanhao/HDR-GS) [](https://www.youtube.com/watch?v=wtU7Kcwe7ck) [](https://zhuanlan.zhihu.com/p/10016024329) High dynamic range · Exposure control · Gaussian splatting · Novel view synthesis Paper · Code · Dataset · Model · Video Bathroom Chair Dog Bear Desk Sponza Demonstrations from the official HDR-GS project repository. HDR-GS (High Dynamic Range Gaussian Splatting) synthesizes novel HDR views and renders LDR views with a user-specified exposure time. The method introduces a Dual Dynamic Range (DDR) Gaussian point cloud model and Parallel Differentiable Rasterization (PDR). It represents HDR color with spherical harmonics and uses an MLP-based tone mapper to produce exposure-dependent LDR color. See the NeurIPS 2024 paper. This repository provides scene-specific pretrained Gaussian point clouds and tone-mapping networks. Each pair represents a fitted scene and is loaded using the official HDR-GS code. Use both files from the same model directory.…
Read the full model card ↗ · Preview checked 2026-11-08T07:44:51.816Z
Inside the original model card — Document outline
- Novel View Synthesis Gallery
- Model Description
- Available Models
- Quick Start
- 1. Set Up the Environment
- 2. Download the Model and Scene Data
- 3. Test and Render
- Training and Rendering Settings
- Visual Results
- Synthetic Scenes
- Real Scenes
- Citation
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
CaiYuanhao/HDR-GS is a task-unspecified model repository published by CaiYuanhao on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 1
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-08T06:21:26.000Z
- Last modified
- 2026-11-08T06:22:13.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-08T06:55:28.597Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.