Block or Report
Block or report aleksaknezevic4
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language
Sort by: Recently starred
Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
Code for RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion [Arxiv 2024]
[CVPR'24] Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors
[SIGGRAPH'24] CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization
Official code for "DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion"
[ECCV 2024] Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation
[ECCV 2024] GVGEN: Text-to-3D Generation with Volumetric Representation
Official implementation of `AToM: Amortized Text-to-Mesh using 2D Diffusion`
ViewDiff generates high-quality, multi-view consistent images of a real-world 3D object in authentic surroundings. (CVPR2024).
CAD: Photorealistic 3D Generation via Adversarial Distillation (CVPR 2024)
From Geometry to Texture: A Hierarchical Framework for Efficient Text-to-3D Generation
[ECCV 2024] HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting.
Official repo of "Guide3D: Create 3D Avatars from Text and Image Guidance"
Offical code of TECA: Text-Guided Generation and Editing of Compositional 3D Avatars
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text
Official Implementation of paper "Disentangled Clothed Avatar Generation from Text Descriptions"
Implementation for "Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model"
A pytorch implementation of “X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation”
Official repo for Make-A-Character: High Quality Text-to-3D Character Generation within Minutes
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
[ECCV 2024]"FSGS: Real-Time Few-Shot View Synthesis using Gaussian Splatting", Zehao Zhu*, Zhiwen Fan*, Yifan Jiang, Zhangyang Wang
Official implementation of "EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS"
[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.
We take a Gaussian Splat model and experiment with using diffusion to improve the quality of noisier / blurrier splats.
"LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS", Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang