skrya

Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

awesome-computer-vision

A curated list of awesome computer vision resources

unsloth

Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

StoryDiffusion

Accepted as [NeurIPS 2024] Spotlight Presentation Paper

awesome-3D-gaussian-splatting

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

VAR

[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

Marigold

[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

OpenRLHF

An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)

StreamingT2V

StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

awesome-3D-generation

A curated list of awesome 3d generation papers

flowmap

Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann

Awesome-Controllable-T2I-Diffusion-Models

A collection of resources on controllable generation with text-to-image diffusion models.

GaussianObject

GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting (SIGGRAPH Asia 2024, TOG)

Neural-Network-Parameter-Diffusion

We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

Scaffold-GS

[CVPR 2024 Highlight] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

EmerNeRF

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Octree-GS

Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians

MRL

Code repository for the paper - "Matryoshka Representation Learning"

GaussianCube

[NeurIPS 2024] GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling

DriveDreamer

[ECCV 2024] DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

GeMap

[ECCV'24] Online Vectorized HD Map Construction using Geometry

UrbanArchitect

The official repository of our paper: "Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior"

GeneOH-Diffusion

[ICLR'24] GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion

Dimba

Transformer-Mamba Diffusion Models

BP-Net

Implementation of our paper 'Bilateral Propagation Network for Depth Completion'

dynmf

(ECCV '24) DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting

Amodal-Completion-in-the-Wild

decomp_diffusion

[ICML 2024] Compositional Image Decomposition with Diffusion Models

DDMI

Official Implementation (Pytorch) of "DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations", ICLR 2024

modsiren