Lumina-T2X is a unified framework for Text to Any Modality Generation
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Updated
Feb 16, 2025 - Python
Lumina-T2X is a unified framework for Text to Any Modality Generation
collection of diffusion model papers categorized by their subareas
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)
[ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video Editing
A curated list of Diffusion Model in RL resources (continually updated)
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
[ICLR 2024] SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
[ICCV 2023] "TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition" (Official Implementation)
[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model
DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
[AAAI 2025, Oral] DepthFM: Fast Monocular Depth Estimation with Flow Matching
Simple and readable code for training and sampling from diffusion models
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023
[SIGGRAPH Asia 2024] ReVersion: Diffusion-Based Relation Inversion from Images
A Repository for Diffusion-Model-related Papers in Low-level Vision
Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
[ICCV 2023] Official implementation of the paper: "DIRE for Diffusion-Generated Image Detection"
[ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"
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