Canonical Latent Representations in Conditional Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Yitao, Zhang, Tong, Pajouheshgar, Ehsan, Süsstrunk, Sabine |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Emergent Dynamics in Neural Cellular Automata
by: Xu, Yitao, et al.
Published: (2024)
by: Xu, Yitao, et al.
Published: (2024)
NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata
by: Pajouheshgar, Ehsan, et al.
Published: (2024)
by: Pajouheshgar, Ehsan, et al.
Published: (2024)
Neural Cellular Automata: From Cells to Pixels
by: Pajouheshgar, Ehsan, et al.
Published: (2025)
by: Pajouheshgar, Ehsan, et al.
Published: (2025)
Mesh Neural Cellular Automata
by: Pajouheshgar, Ehsan, et al.
Published: (2023)
by: Pajouheshgar, Ehsan, et al.
Published: (2023)
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
by: Xu, Yitao, et al.
Published: (2024)
by: Xu, Yitao, et al.
Published: (2024)
Neural Particle Automata: Learning Self-Organizing Particle Dynamics
by: Kim, Hyunsoo, et al.
Published: (2026)
by: Kim, Hyunsoo, et al.
Published: (2026)
OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation
by: Ozaydin, Baran, et al.
Published: (2024)
by: Ozaydin, Baran, et al.
Published: (2024)
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density
by: Li, Shuangqi, et al.
Published: (2024)
by: Li, Shuangqi, et al.
Published: (2024)
Data Augmentation via Latent Diffusion for Saliency Prediction
by: Aydemir, Bahar, et al.
Published: (2024)
by: Aydemir, Bahar, et al.
Published: (2024)
FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing
by: Ren, Yufan, et al.
Published: (2025)
by: Ren, Yufan, et al.
Published: (2025)
Subtractive Modulative Network with Learnable Periodic Activations
by: Wang, Tiou, et al.
Published: (2026)
by: Wang, Tiou, et al.
Published: (2026)
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
by: Hahm, Jaehoon, et al.
Published: (2024)
by: Hahm, Jaehoon, et al.
Published: (2024)
Exploring the Landscape of Non-Equilibrium Memories with Neural Cellular Automata
by: Pajouheshgar, Ehsan, et al.
Published: (2025)
by: Pajouheshgar, Ehsan, et al.
Published: (2025)
Representation-Conditioned Diffusion Models for Guided Training Data Generation
by: Karthikeyan, Nithesh Chandher, et al.
Published: (2026)
by: Karthikeyan, Nithesh Chandher, et al.
Published: (2026)
Towards Controllable Image Generation through Representation-Conditioned Diffusion Models
by: Karthikeyan, Nithesh Chandher, et al.
Published: (2026)
by: Karthikeyan, Nithesh Chandher, et al.
Published: (2026)
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
by: Huang, Lin-Chun, et al.
Published: (2025)
by: Huang, Lin-Chun, et al.
Published: (2025)
Diffusion Transformers with Representation Autoencoders
by: Zheng, Boyang, et al.
Published: (2025)
by: Zheng, Boyang, et al.
Published: (2025)
Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
by: Baade, Alan, et al.
Published: (2026)
by: Baade, Alan, et al.
Published: (2026)
RCDM: Enabling Robustness for Conditional Diffusion Model
by: Xu, Weifeng, et al.
Published: (2024)
by: Xu, Weifeng, et al.
Published: (2024)
Enhancing Frequency Forgery Clues for Diffusion-Generated Image Detection
by: Zhang, Daichi, et al.
Published: (2025)
by: Zhang, Daichi, et al.
Published: (2025)
NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects
by: Wang, Dongqing, et al.
Published: (2023)
by: Wang, Dongqing, et al.
Published: (2023)
CASL: Concept-Aligned Sparse Latents for Interpreting Diffusion Models
by: He, Zhenghao, et al.
Published: (2026)
by: He, Zhenghao, et al.
Published: (2026)
LatentHDR: Decoupling Exposure from Diffusion via Conditional Latent-to-Latent Mapping for Text/Image-to-Panoramic HDR
by: Fekri, Pedram, et al.
Published: (2026)
by: Fekri, Pedram, et al.
Published: (2026)
KeyPointDiffuser: Unsupervised 3D Keypoint Learning via Latent Diffusion Models
by: Newbury, Rhys, et al.
Published: (2025)
by: Newbury, Rhys, et al.
Published: (2025)
VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models
by: Bi, Tianci, et al.
Published: (2025)
by: Bi, Tianci, et al.
Published: (2025)
CCDM: Continuous Conditional Diffusion Models for Image Generation
by: Ding, Xin, et al.
Published: (2024)
by: Ding, Xin, et al.
Published: (2024)
LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models
by: Sun, Mengyu, et al.
Published: (2026)
by: Sun, Mengyu, et al.
Published: (2026)
Learning Latent Space Hierarchical EBM Diffusion Models
by: Cui, Jiali, et al.
Published: (2024)
by: Cui, Jiali, et al.
Published: (2024)
Gradient-free Decoder Inversion in Latent Diffusion Models
by: Hong, Seongmin, et al.
Published: (2024)
by: Hong, Seongmin, et al.
Published: (2024)
Latent Diffusion Inversion Requires Understanding the Latent Space
by: Rao, Mingxing, et al.
Published: (2025)
by: Rao, Mingxing, et al.
Published: (2025)
JLT: Clean-Latent Prediction in Latent Diffusion Transformers
by: Fu, Funing, et al.
Published: (2026)
by: Fu, Funing, et al.
Published: (2026)
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
by: Jun, Youngjun, et al.
Published: (2024)
by: Jun, Youngjun, et al.
Published: (2024)
BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry
by: Xu, Xiang, et al.
Published: (2024)
by: Xu, Xiang, et al.
Published: (2024)
Semantically Consistent Video Inpainting with Conditional Diffusion Models
by: Green, Dylan, et al.
Published: (2024)
by: Green, Dylan, et al.
Published: (2024)
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation
by: Luo, Yan, et al.
Published: (2024)
by: Luo, Yan, et al.
Published: (2024)
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
by: Haas, René, et al.
Published: (2023)
by: Haas, René, et al.
Published: (2023)
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
by: Mei, Kangfu, et al.
Published: (2024)
by: Mei, Kangfu, et al.
Published: (2024)
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
by: Li, Xiao, et al.
Published: (2025)
by: Li, Xiao, et al.
Published: (2025)
JPEG-LM: LLMs as Image Generators with Canonical Codec Representations
by: Han, Xiaochuang, et al.
Published: (2024)
by: Han, Xiaochuang, et al.
Published: (2024)
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models
by: Zhu, Mengdan, et al.
Published: (2024)
by: Zhu, Mengdan, et al.
Published: (2024)
Similar Items
-
Emergent Dynamics in Neural Cellular Automata
by: Xu, Yitao, et al.
Published: (2024) -
NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata
by: Pajouheshgar, Ehsan, et al.
Published: (2024) -
Neural Cellular Automata: From Cells to Pixels
by: Pajouheshgar, Ehsan, et al.
Published: (2025) -
Mesh Neural Cellular Automata
by: Pajouheshgar, Ehsan, et al.
Published: (2023) -
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer
by: Xu, Yitao, et al.
Published: (2024)