Stars
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
Gaussian Splatting algorithm in Julia language
Training LLMs with QLoRA + FSDP
code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"
Vector (and Scalar) Quantization, in Pytorch
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
Python library for designing and training your own Diffusion Models with PyTorch.
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
Karras et al. (2022) diffusion models for PyTorch
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
IREE's PyTorch Frontend, based on Torch Dynamo.
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
A cross-platform, high performance renderer for Gaussian Splatting using Vulkan Compute. Supports ✅ Windows, Linux, macOS, iOS, and visionOS
Minimal Implementation of a D3PM in pytorch
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Schedule-Free Optimization in PyTorch
Official Pytorch Implementation for "Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer""
[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-sim…
DepthFM: Fast Monocular Depth Estimation with Flow Matching
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Generates high-quality, optimally smooth tangent direction fields on triangle meshes.
[ECCV'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
Analyzing and Improving the Training Dynamics of Diffusion Models (EDM2)