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3dgs5

[Notable] 3DGS(3D gaussian splatting) 은 Differentiable 한가? ▶3DGS 는 Explicit Representation (명시적 표현) 방식이지만, 렌더링 과정이 미분 가능하게 설계되어 있어서 학습할 수 있습니다. ✅ Explicit Representation인데 왜 Differentiable 할까?보통 Explicit Representation(명시적 표현)은 3D 객체를 직접적으로 나타내는 방식이기 때문에, 미분이 어렵다고 생각할 수 있습니다.예를 들어:Point Cloud (점 클라우드) → 단순한 3D 좌표 집합이므로 미분이 어려움.Mesh (메쉬, 삼각형 기반 모델) → 버텍스(Vertex)와 페이스(Face)로 표현되며, 일반적인 경우 미분이 쉽지 않음.하지만 3DGS는 Gaussian Splatting을 사용하여 미분 가능(differentiable)한.. 2025. 2. 17.

[Paper Review] Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers https://arxiv.org/abs/2312.09147 Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with TransformersRecent advancements in 3D reconstruction from single images have been driven by the evolution of generative models. Prominent among these are methods based on Score Distillation Sampling (SDS) and the adaptation of diffusion models in the 3D domain. Despitarxi.. 2025. 2. 17.

[Code Build][Ubuntu] Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering https://github.com/Anttwo/Frosting?tab=readme-ov-file GitHub - Anttwo/Frosting: [ECCV 2024 - ORAL] Official PyTorch implementation of Gaussian Frosting: Editable Complex Radiance Fie[ECCV 2024 - ORAL] Official PyTorch implementation of Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering - Anttwo/Frostinggithub.comhttps://github.com/Anttwo/Frosting/blob/main/media/gifs/bu.. 2025. 1. 10.

[Code Build][Ubuntu] SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering https://github.com/Anttwo/SuGaR?tab=readme-ov-file GitHub - Anttwo/SuGaR: [CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering - Anttwo/SuGaRgithub.com [ required ubuntu environment]ubunt.. 2025. 1. 10.

[Code Build][Ubuntu] 3D Gaussian splatting 저는 dataset 구축과 train 은 vessl server (ubuntu) 환경에서 진행 했고,viewer 는 exe 로 실행해야되기 때문에 window 환경에서 진행 했습니다.gaussian splatting 의 환경사항은 다음과 같습니다.name: gaussian_splatting channels: - pytorch - conda-forge - defaults dependencies: - cudatoolkit=11.6 - plyfile - python=3.7.13 - pip=22.3.1 - pytorch=1.12.1 - torchaudio=0.12.1 - torchvision=0.13.1 - tqdm - pip: - submodules/diff-.. 2025. 1. 8.

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