mlsanityData to 7 Oct 2026

Beyond Sliders: Mastering the Art of Diffusion-based Image Manipulation

arXiv 2509.11213 ↗First posted 14 Sep 2025cs.CVcited by 0

On the map: Diffusion models → Image generation, text-to-image and editing

Abstract (arXiv)

In the realm of image generation, the quest for realism and customization has never been more pressing. While existing methods like concept sliders have made strides, they often falter when it comes to no-AIGC images, particularly images captured in real world settings. To bridge this gap, we introduce Beyond Sliders, an innovative framework that integrates GANs and diffusion models to facilitate sophisticated image manipulation across diverse image categories. Improved upon concept sliders, our method refines the image through fine grained guidance both textual and visual in an adversarial manner, leading to a marked enhancement in image quality and realism. Extensive experimental validation confirms the robustness and versatility of Beyond Sliders across a spectrum of applications.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 29 of its 35 references that are in the map. First posted on arXiv 14 Sep 2025.

Builds on

29 of 35 references.

Closest ancestors · 3

Same direction, newest first

  1. 2023Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models20 Nov
  2. 2023ReVersion: Diffusion-Based Relation Inversion from Images23 Mar
  3. 2022Compositional Visual Generation with Composable Diffusion Models3 Jun

Other references · 26

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  4. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  5. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  6. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  7. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
  8. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  9. 2022Generative Adversarial Networkscited by 5,603
  10. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
  11. 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,094
  12. 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,067
14 more
  1. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  2. 2015FaceNet: A Unified Embedding for Face Recognition and Clusteringcited by 2,833
  3. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
  4. 2021Alias-Free Generative Adversarial Networkscited by 1,181
  5. 2017In Defense of the Triplet Loss for Person Re-Identificationcited by 784
  6. 2024Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Surveycited by 641
  7. 2020GANSpace: Discovering Interpretable GAN Controlscited by 612
  8. 2014Deep metric learning using Triplet networkcited by 421
  9. 2020StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flowscited by 348
  10. 2022Understanding Diffusion Models: A Unified Perspectivecited by 337
  11. 2024TexSliders: Diffusion-Based Texture Editing in CLIP Spacecited by 23
  12. 2022Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Explorationcited by 21
  13. 2024SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generationcited by 19
  14. 2024SOEDiff: Efficient Distillation for Small Object Editingcited by 5

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2021DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
  2. 2024Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models
  3. 2023DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
  4. 2025Image Inversion: A Survey from GANs to Diffusion and Beyond
  5. 2023Conditional Image Generation with Pretrained Generative Model
  6. 2025Generative Adversarial Networks Bridging Art and Machine Intelligence
  7. 2023DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing
  8. 2025Generative AI for Vision: A Comprehensive Study of Frameworks and Applications