Dev tools · alternatives · 2026
24 alternatives to ExGAN-Adversarial Generation of Extreme Samples
Adversarial Generation of Extreme Samples. Contribute to Stream-AD/ExGAN development by creating an account on GitHub.
ExGAN-Adversarial Generation of Extreme Samples is a tool for generating extreme or edge-case data samples using adversarial machine learning techniques. It is designed for researchers and developers who need to test… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. ExGAN-Adversarial Generation of Extreme Samples launched in 2020; newer entries below may have overtaken it.
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Abstract page for arXiv paper 2009.08454: ExGAN: Adversarial Generation of Extreme Samples
2020 · arxiv.org · its alternatives →
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A list of apps that use GANs to create fake-anythings
2019 · thisxdoesnotexist.com · its alternatives →
- 3GP
2017 · reiinakano.github.io · its alternatives →
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Face Generator▲509Generate unique, expressive AI-generated faces in real time
2021 · generated.photos · its alternatives →
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Living Images▲588Optimize your images with generative A/B testing
2024 · img.coframe.ai · its alternatives →
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I invented Discrete Distribution Networks, a novel generative model with simple principles and unique properties, and the paper has been accepted to ICLR2025! Modeling data distribution is challenging; DDN adopts a simple yet fundamentally different approach compared to mainstream generative models (Diffusion, GAN, VAE, autoregressive model): 1. The model generates multiple outputs simultaneously in a single forward pass, rather than just one output. 2. It uses these multiple outputs to approximate the target distribution of the training data. 3. These outputs together represent a discrete…
2025 · discrete-distribution-networks.github.io · its alternatives →
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Research Framework for easy and efficient training of GANs based on Pytorch - torchgan/torchgan
2018 · github.com · its alternatives →
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The easiest way to produce professional videos from Scripts
2025 · its alternatives →
- 9RT
2024 · fastsdxl.ai · its alternatives →
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Abstract page for arXiv paper 1908.06062: Adversarial shape perturbations on 3D point clouds
2019 · arxiv.org · its alternatives →
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Fabraix▲196We built Adversarial Cost to Exploit (ACE), a benchmark that measures the token expenditure an autonomous adversary must invest to breach an LLM agent. Instead of binary pass/fail, ACE quantifies adversarial effort in dollars, enabling game-theoretic analysis of when an attack is economically rational. We tested six budget-tier models (Gemini Flash-Lite, DeepSeek v3.2, Mistral Small 4, Grok 4.1 Fast, GPT-5.4 Nano, Claude Haiku 4.5) with identical agent configs and an autonomous red-teaming attacker. Haiku 4.5 was an order of magnitude harder to break than every other model; $10.21 mean…
May 2026 · fabraix.com · its alternatives →
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MAI-Image-2.5▲241Hey HN I’ve been experimenting with different image generation tools for months — but I kept running into the same problems: slow generation, repeated outputs, and limited artistic control. That’s why I built MAI-Image-1, Microsoft’s latest AI image generation model designed for creators, designers, and developers who need fast, realistic results without sacrificing flexibility. What makes MAI-Image-1 different: Ultra-realistic rendering — it accurately captures light, texture, and natural shadows. Lightning-fast generation — create detailed images in seconds. No style lock-in — experiment…
Jun 2026 · microsoft.ai · its alternatives →
- 14FGFace Generator▲256
2019 · xn--5ca.cc · its alternatives →
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Richer images & aesthetics from shorter prompts
2023 · stability.ai · its alternatives →
- 17
Reduce bias in AI systems with synthetic face datasets
2020 · generated.photos · its alternatives →
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The largest AI generated vector image library and AI vector art generator. Browse and download unlimited SVG vector images, illustrations and clipart for free or create your own with AI.
2023 · vectorart.ai · its alternatives →
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It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch. We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control. It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU. For more technical details and examples see our blog post: https://ideogram.ai/blog/ideogram-4.0/ We will be happy to answer any questions :)
Jun 2026 · github.com · its alternatives →
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The Roadmap to Learn Generative Adversarial Networks (GANs) - instillai/Generative-Adversarial-Networks-Roadmap
2019 · github.com · its alternatives →
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Generate stunning images from text prompts effortlessly.
2024 · tryleap.ai · its alternatives →
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Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence. - pochenai/nano-llm-posttraining
Aug 2026 · github.com · its alternatives →
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This project is a simple but fun demonstration of a genetic algorithm applied to image generation. It starts with a population of random images and evolves them over generations to resemble a target image. The output is an animated GIF that shows the entire evolution process.
2025 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →