CompVis

A latent text-to-image diffusion model

High-Resolution Image Synthesis with Latent Diffusion Models

Taming Transformers for High-Resolution Image Synthesis

[AAAI 2025, Oral] DepthFM: Fast Monocular Depth Estimation with Flow Matching

[CVPR 2026] A PyTorch implementation of the paper "EDGS: Eliminating Densification for Efficient Convergence of 3DGS"

source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer

A generative model conditioned on shape and appearance.

Is a geometric model required to synthesize novel views from a single image?

A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

[ECCV 2024, Oral] FMBoost: Boosting Latent Diffusion with Flow Matching

Network-to-Network Translation with Conditional Invertible Neural Networks

Implementation of Stochastic Image-to-Video Synthesis using cINNs.

TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".

Official codebase for the Paper “Retrieval-Augmented Diffusion Models”

Fine-Grained Subject-Specific Attribute Expression Control in T2I Models

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis

The official implementation of "[MASK] is All You Need"

A Disentangling Invertible Interpretation Network

[CVPR 2025] Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment

[CVPR 2026] Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation

Content and Style Disentanglement for Artistic Style Transfer [ICCV19]

[ICLR 2026] Adapting Self-Supervised Representations as a Latent Space for Efficient Generation

Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks

[ICCV 2025] SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis