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A deep learning-based approach for generating realistic foggy images using ControlNet and LoRA. This project fine-tunes diffusion models for improved fog simulation, useful in training autonomous vehicles and environmental simulations.

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Abhinand-p/FoggyGen-ControlNet-LoRA

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FoggyGen-ControlNet-LoRA

A deep learning-based approach for generating realistic foggy images using ControlNet, LoRA and FOHIS. This project fine-tunes diffusion models for improved fog simulation, useful in training autonomous vehicles and environmental simulations.

Fog Simulator FOHIS

This simulator uses the FOHIS (Fog in High Intensity Scenarios) approach to generate varying levels of fog density, enhancing the realism of foggy conditions in simulated environments. Combined-grid.png

Foggy Image Generation with Stable Diffusion

This project utilizes stable diffusion techniques to simulate foggy conditions in images, offering a versatile framework for generating synthetic data in controlled environments. controlnet_lora_1.5.png

controlnet_vanilla_1.5_original_depthmap.png

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A deep learning-based approach for generating realistic foggy images using ControlNet and LoRA. This project fine-tunes diffusion models for improved fog simulation, useful in training autonomous vehicles and environmental simulations.

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