SlavaElizarov
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ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
[SIGGRAPH Asia 2024, Best Paper Honorable Mention] This is the official implementation of our SIGGRAPH Asia journal artical: TEXGen: a Generative Diffusion Model for Mesh Textures
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
An extremely fast Python package and project manager, written in Rust.
[ECCV 2024] Single Image to 3D Textured Mesh in 10 seconds with Convolutional Reconstruction Model.
A collection of advanced tools for large-scale high-quality mesh data preparing
Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Nodes for image juxtaposition for Flux in ComfyUI
Official Implementation of LOTUS: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
Official Pytorch Implementation of Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
T3Bench: Benchmarking Current Progress in Text-to-3D Generation
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Manipulation and analysis of geometric objects
An introductory course intrinsic triangulations for powerful & robust geometry processing --- tutorial code and links.
[CVPR 2022, Oral] Learning Partial point cloud matching in Rigid and Deformable scenes
Official inference repo for FLUX.1 models
[CVPR24] DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data