Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation | Paper Citation Record

Observation 2bb611f5-234c-40e8-9e85-4a01aca16ff0 · outbound

This paper cites Ringmoe: Mixture-of-modality- experts multi-modal foundation models for universal remote sens- ing image interpretation,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Ringmoe: Mixture-of-modality- experts multi-modal foundation models for universal remote sens- ing image interpretation,

Reference 1

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Observation 66ec0391-1751-45b5-a0a9-40460e6ddd4a · outbound

This paper cites Spectralgpt: Spectral remote sensing foundation model,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Spectralgpt: Spectral remote sensing foundation model,

Reference 2

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Observation 01bf6c7c-ec91-4af0-b0a8-b826fe2cd61f · outbound

This paper cites Focus-n-fix: Region-aware fine- tuning for text-to-image generation,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Focus-n-fix: Region-aware fine- tuning for text-to-image generation,

Reference 3

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Observation 67c2ee4e-e0fc-41ee-93a7-a03fd38f1a05 · outbound

This paper cites Conceptguard: Continual personalized text- to-image generation with forgetting and confusion mitigation,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Conceptguard: Continual personalized text- to-image generation with forgetting and confusion mitigation,

Reference 4

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Observation 2e37f20e-047c-4a55-9497-c580d14bb5b0 · outbound

This paper cites Text-guided diverse image synthesis for long-tailed remote sensing object classification,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Text-guided diverse image synthesis for long-tailed remote sensing object classification,

Reference 5

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Observation 70c2e33d-dc11-4059-8370-7823492f1019 · outbound

This paper cites Text2earth: Unlocking text-driven remote sensing image generation with a global-scale dataset and a foundation model,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Text2earth: Unlocking text-driven remote sensing image generation with a global-scale dataset and a foundation model,

Reference 6

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Observation 93b9a2cd-7dfc-407b-adbe-be2caf908178 · outbound

This paper cites Metaearth: A generative foundation model for global-scale remote sensing,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Metaearth: A generative foundation model for global-scale remote sensing,

Reference 7

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Observation 6a4e74d8-2ec3-4d3d-9208-71488b5f95ae · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation High-resolution image synthesis with latent diffusion models,

Reference 8

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Observation 4e6717d7-b09b-4e31-a349-be0b9bb22bed · outbound

This paper cites Remote sensing image gen- eration via object text decoupling,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Remote sensing image gen- eration via object text decoupling,

Reference 9

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Observation df6f7b0e-2549-473f-a28a-9495146e82d6 · outbound

This paper cites Cc-diff++: Spatially controllable text-to-image synthesis for remote sensing with en- hanced contextual coherence,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Cc-diff++: Spatially controllable text-to-image synthesis for remote sensing with en- hanced contextual coherence,

Reference 10

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Observation 49e9930f-597c-43ae-ad95-85d0917585ec · outbound

This paper cites Mmo-ig: Multi-class and multi-scale object image generation for remote sensing,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Mmo-ig: Multi-class and multi-scale object image generation for remote sensing,

Reference 11

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Observation 98efd29e-024b-4fdf-a0e0-9cc172f5c3d2 · outbound

This paper cites Rsdiff: Remote sensing image gen- eration from text using diffusion model,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Rsdiff: Remote sensing image gen- eration from text using diffusion model,

Reference 12

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Observation 3d6a14b9-2292-4587-9cca-201fa0faf402 · outbound

This paper cites Diffusionsat: A generative foundation model for satellite imagery,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Diffusionsat: A generative foundation model for satellite imagery,

Reference 13

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Observation ea8851bf-4d53-41b8-98b4-1a38314f2848 · outbound

This paper cites Geosynth: Contextually-aware high-resolution satellite image synthesis,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Geosynth: Contextually-aware high-resolution satellite image synthesis,

Reference 14

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Observation b5994638-8861-42a9-858f-e731ec58840a · outbound

This paper cites Learning disentangled representations for perceptual point cloud quality assessment via mutual information minimization,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Learning disentangled representations for perceptual point cloud quality assessment via mutual information minimization,

Reference 15

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Observation 925f4407-4bb4-41cf-919e-20b6af80ce90 · outbound

This paper cites Learning disen- tangled representation for one-shot progressive face swapping,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Learning disen- tangled representation for one-shot progressive face swapping,

Reference 16

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Observation 4f19584d-8fbb-4d6c-896b-fcd6666423f0 · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation LoRA: Low-rank adaptation of large language models,

Reference 17

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Observation 71d03d4e-a14c-4f1e-afea-29bd42ebe8d4 · outbound

This paper cites Implicit style-content separation using b-lora,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Implicit style-content separation using b-lora,

Reference 18

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Observation a1923781-4fa1-4695-8cf5-06ff54b5ed95 · outbound

This paper cites Ziplora: Any subject in any style by effectively merging loras,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Ziplora: Any subject in any style by effectively merging loras,

Reference 19

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Observation 0ad4ab05-235f-49f8-8738-085c591a605c · outbound

This paper cites Txt2img-mhn: Remote sensing image generation from text using modern hopfield networks,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Txt2img-mhn: Remote sensing image generation from text using modern hopfield networks,

Reference 20

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Observation beee217a-be8f-408d-ab40-8246e862919b · outbound

This paper cites Hopfield Networks is All You Need.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Hopfield Networks is All You Need

Reference 21

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Observation 9f631d47-02fc-4291-bf41-bc24d470c780 · outbound

This paper cites Crs-diff: Controllable remote sensing image generation with diffusion model,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Crs-diff: Controllable remote sensing image generation with diffusion model,

Reference 22

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Observation 9fdfad7a-cc6c-4d69-8e64-dd2f8f950088 · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Adding conditional control to text-to-image diffusion models,

Reference 23

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Observation 5d149879-bca9-4fdf-9057-22113353ad26 · outbound

This paper cites Denoising diffusion probabilistic models,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Denoising diffusion probabilistic models,

Reference 24

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Observation 761fd93a-05a6-4c9f-9b7f-38792ae74f35 · outbound

This paper cites Denoising Diffusion Implicit Models.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Denoising Diffusion Implicit Models

Reference 25

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Observation 5b899720-b6c3-43da-ab1b-a6b55cf6e07b · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 26

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Observation d0d723d9-7542-45ab-b1d5-bb80aee108c4 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Photorealistic text-to-image diffusion models with deep language understanding,

Reference 27

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Observation f3a2788a-eeea-4a22-bc48-9992a9801f2d · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Learning transferable visual models from natural language supervision,

Reference 28

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Observation 88c2e662-e076-4765-b622-13359d1e0ac0 · outbound

This paper cites Unic-adapter: Unified image- instruction adapter with multi-modal transformer for image gen- eration,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Unic-adapter: Unified image- instruction adapter with multi-modal transformer for image gen- eration,

Reference 29

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Observation b739b37c-5758-448c-b391-47c2be12d67b · outbound

This paper cites Alignguard: Scalable safety align- ment for text-to-image generation,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Alignguard: Scalable safety align- ment for text-to-image generation,

Reference 30

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Observation 09f5d281-da6e-4c51-af41-7ae13e4e4f1f · outbound

This paper cites Enhancing mmdit-based text-to-image models for similar subject generation,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Enhancing mmdit-based text-to-image models for similar subject generation,

Reference 31

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Observation 612eaa84-fe58-4075-8ecb-cd2fe24c6418 · outbound

This paper cites Cspanet: cross-route statistical partition attention network for style transfer,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Cspanet: cross-route statistical partition attention network for style transfer,

Reference 32

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Observation 485abedf-2977-4bce-8dd3-5473efd132b4 · outbound

This paper cites Disentangled representation learning,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Disentangled representation learning,

Reference 33

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Observation 0f1be0ed-2fc5-404e-93a3-3b51d2adbe7c · outbound

This paper cites Qr-lora: Efficient and disentangled fine-tuning via qr decomposition for customized generation,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Qr-lora: Efficient and disentangled fine-tuning via qr decomposition for customized generation,

Reference 34

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Observation e960b788-4a85-430a-a3fc-827df1592068 · outbound

This paper cites Auto-Encoding Variational Bayes.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Auto-Encoding Variational Bayes

Reference 35

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Observation 96e6c9c5-040e-467a-800c-b54f2faf17ad · outbound

This paper cites Singular value decomposi- tion for genome-wide expression data processing and modeling,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Singular value decomposi- tion for genome-wide expression data processing and modeling,

Reference 36

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Observation 17235e90-34c2-4602-9787-2714d79ecf13 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Adam: A Method for Stochastic Optimization

Reference 37

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Observation 8bb99ea1-4146-4bfd-9d86-cc72ec041625 · outbound

This paper cites Mcanet: A joint semantic seg- mentation framework of optical and sar images for land use classification,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Mcanet: A joint semantic seg- mentation framework of optical and sar images for land use classification,

Reference 38

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Observation 8c88b271-a64e-4dbf-9cf1-4a3e0a81bcc0 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 39

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Observation 34543370-58fa-4527-8d98-f2aaed76c653 · outbound

This paper cites Improved techniques for training gans,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Improved techniques for training gans,

Reference 40

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Observation 78ed147c-679c-44fc-8436-b54cb4353129 · outbound

This paper cites Remote sensing image scene classification: Benchmark and state of the art,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Remote sensing image scene classification: Benchmark and state of the art,

Reference 41

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Observation caf6cf2b-0e6b-4e71-9453-012af6bac155 · outbound

This paper cites Remote-sensing cross-domain scene classification: A dataset and benchmark,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Remote-sensing cross-domain scene classification: A dataset and benchmark,

Reference 42

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Observation 5306b86b-539d-42b1-a7b3-5b1f1dfd97a8 · outbound

This paper cites Sardet-100k: Towards open-source bench- mark and toolkit for large-scale sar object detection,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Sardet-100k: Towards open-source bench- mark and toolkit for large-scale sar object detection,

Reference 43

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Observation 43c4e520-9a85-43b1-9f52-5d64ec59b5d3 · outbound

This paper cites BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-30T16:18:09.321341Z

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Observation a1e561e4-c350-4ade-b192-586fed8a760f · outbound

This paper cites Fusar-ship: Building a high-resolution sar-ais matchup dataset of gaofen-3 for ship detection and recognition,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Fusar-ship: Building a high-resolution sar-ais matchup dataset of gaofen-3 for ship detection and recognition,

Reference 45

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Observation 94b81942-e7bb-453f-aeaa-51c0e0e40449 · outbound

This paper cites Drone-based rgb-infrared cross-modality vehicle detection,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Drone-based rgb-infrared cross-modality vehicle detection,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-30T16:18:09.641729Z

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Observation 53efbbdd-c4d0-43e3-b832-a3fc686b446a · outbound

This paper cites Vehicle detection in aerial imagery (vedai): a benchmark,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Vehicle detection in aerial imagery (vedai): a benchmark,

Reference 47

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Observation 434958cc-2f5e-40f1-ab68-bad486e52d3d · outbound

This paper cites Df- gan: A simple and effective baseline for text-to-image synthesis,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Df- gan: A simple and effective baseline for text-to-image synthesis,

Reference 48

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Observation cfbc982b-f451-4fdf-998f-206d9f0ee990 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 49

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Observation 1f0de0ee-58d9-488b-aa84-24d122987d57 · outbound

This paper cites Deep residual learning for image recognition,.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation Deep residual learning for image recognition,

Reference 50

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