Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding | Paper Citation Record

Observation 614d6f97-88a3-44c2-bfd6-6cb2003d5168 · outbound

This paper cites Siedob: Semantic image editing by disentangling object and background,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Siedob: Semantic image editing by disentangling object and background,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.934173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55a7e76c-bb41-42a7-9534-f6f920032251 · outbound

This paper cites Editgan: High-precision semantic image editing,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Editgan: High-precision semantic image editing,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.914132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 01e437a9-6c20-42f5-87d1-c0b1586ab0a1 · outbound

This paper cites Sesame: Semantic editing of scenes by adding, manipulating or erasing objects,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Sesame: Semantic editing of scenes by adding, manipulating or erasing objects,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.898130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3e95332e-09c3-44ec-b973-8b9f7c93e322 · outbound

This paper cites Incremental learning for semantic segmentation of large-scale remote sensing data,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Incremental learning for semantic segmentation of large-scale remote sensing data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.879437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 57a9a78b-5620-4fcc-aaed-70f62f681efb · outbound

This paper cites A survey on continual semantic segmentation: Theory, challenge, method and application,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding A survey on continual semantic segmentation: Theory, challenge, method and application,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.847899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4cc72d70-ec5a-4c47-91bc-23bc9cf00e8d · outbound

This paper cites Birds of a feather flock together: Category-divergence guidance for domain adaptive seg- mentation,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Birds of a feather flock together: Category-divergence guidance for domain adaptive seg- mentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.862262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ecd9e13a-46a8-4574-a098-0c5ac3e8aced · outbound

This paper cites Inherit with distillation and evolve with contrast: Exploring class incremental semantic segmentation without exemplar memory,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Inherit with distillation and evolve with contrast: Exploring class incremental semantic segmentation without exemplar memory,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.813451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 71c97722-0662-4bc6-ab3a-690966779d3b · outbound

This paper cites Learning at a glance: Towards in- terpretable data-limited continual semantic segmentation via semantic- invariance modelling,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Learning at a glance: Towards in- terpretable data-limited continual semantic segmentation via semantic- invariance modelling,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.732387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 35f0aea4-197c-4376-be90-6c3712fac053 · outbound

This paper cites Low light video enhancement using synthetic data produced with an intermediate domain mapping,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Low light video enhancement using synthetic data produced with an intermediate domain mapping,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.663092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 64f0a348-0b14-4f0d-9bfc-7b8144e4dcdc · outbound

This paper cites Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.648137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3e1a8246-0590-4fdc-b6a8-00e2d5c1dc57 · outbound

This paper cites Fice: Text-conditioned fashion-image editing with guided gan inversion,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Fice: Text-conditioned fashion-image editing with guided gan inversion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.631674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c73bfdea-fd10-4de6-971e-7d6817e5deb2 · outbound

This paper cites Semantic image synthesis with spatially-adaptive normalization,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Semantic image synthesis with spatially-adaptive normalization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.616262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5a896c2b-910a-4ad4-a004-6f5c1c2907c0 · outbound

This paper cites Semantic probability distribution modeling for diverse semantic image synthesis,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Semantic probability distribution modeling for diverse semantic image synthesis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.601750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 17556271-6486-4f1c-867c-289dd06e2e52 · outbound

This paper cites Semantic image synthesis via adversarial learning,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Semantic image synthesis via adversarial learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.586968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation baf7c52e-8d0e-47cf-af37-c3b364a6e417 · outbound

This paper cites High-resolution image synthesis and semantic manipulation with condi- tional gans,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding High-resolution image synthesis and semantic manipulation with condi- tional gans,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.572581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 118b968b-ef51-46b7-be80-53260a57dd7c · outbound

This paper cites Sean: Image synthesis with semantic region-adaptive normalization,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Sean: Image synthesis with semantic region-adaptive normalization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.500874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 12988aa1-e05e-4aff-8953-56fe489900bd · outbound

This paper cites Auto-Encoding Variational Bayes.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Auto-Encoding Variational Bayes

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:38.773127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef2f99e-da49-407c-94d9-6465e759b0a2 · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Image-to-image translation with conditional adversarial networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.434485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 57117778-35f5-49e1-a91f-15a6126194eb · outbound

This paper cites Local class-specific and global image-level generative adversarial networks for semantic- guided scene generation,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Local class-specific and global image-level generative adversarial networks for semantic- guided scene generation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.417869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 05a28858-ab56-49bf-99e2-e8a512e45b39 · outbound

This paper cites Efficient semantic image synthesis via class-adaptive normalization,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Efficient semantic image synthesis via class-adaptive normalization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.404170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5c7697ce-2036-4a7f-9b88-6a295e42fde7 · outbound

This paper cites Oasis: only adversarial supervision for semantic image synthesis,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Oasis: only adversarial supervision for semantic image synthesis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.388045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8631d2c0-fa11-4b7c-b29f-335681d06ce9 · outbound

This paper cites Edge guided gans with multi-scale contrastive learning for semantic image synthesis,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Edge guided gans with multi-scale contrastive learning for semantic image synthesis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.373594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5c30b5e8-f99d-4dd9-914a-e4b58e2eeecf · outbound

This paper cites Retrieval-based spatially adaptive normalization for semantic image synthesis,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Retrieval-based spatially adaptive normalization for semantic image synthesis,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.330141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a8a4ba8-ea1f-4a3e-9ce3-be56adab7563 · outbound

This paper cites Place: Adaptive layout- semantic fusion for semantic image synthesis,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Place: Adaptive layout- semantic fusion for semantic image synthesis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.198211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9139125d-fe16-4432-9f6b-7e66bf9900b4 · outbound

This paper cites Freestyle layout- to-image synthesis,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Freestyle layout- to-image synthesis,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.174021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 481254c6-581b-48b6-ba72-8d925b8aeae9 · outbound

This paper cites Remote sensing image synthesis via semantic embedding generative adversarial networks,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Remote sensing image synthesis via semantic embedding generative adversarial networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.154159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 307e168f-6991-40f2-9b22-a98d66ef8f6e · outbound

This paper cites Semantic-shape adaptive feature modulation for semantic image synthesis,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Semantic-shape adaptive feature modulation for semantic image synthesis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.082180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8af7de72-8ff1-439b-9029-0cc9df77fa41 · outbound

This paper cites Semantically multi-modal image synthesis,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Semantically multi-modal image synthesis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.060704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bb70891c-8ad2-4dc5-bba4-98734f328616 · outbound

This paper cites Spatially-adaptive pixelwise networks for fast image translation,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Spatially-adaptive pixelwise networks for fast image translation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:41.042920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a8b33f63-3dce-44a4-87af-e0f48a1e8d8f · outbound

This paper cites Spatially constrained gan for face and fashion synthesis,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Spatially constrained gan for face and fashion synthesis,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.934516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 290f2696-9ed1-43e3-946a-791601380606 · outbound

This paper cites Local class-specific and global image-level generative adversarial networks for semantic- guided scene generation,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Local class-specific and global image-level generative adversarial networks for semantic- guided scene generation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.914467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation deacc5f2-6b7c-4bf3-892d-afea3d98de64 · outbound

This paper cites Step: Style-based encoder pre-training for multi-modal image synthesis,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Step: Style-based encoder pre-training for multi-modal image synthesis,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.825062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 01310505-94de-4e5a-acaa-22ba8022021f · outbound

This paper cites Local class-specific and global image-level generative adversarial networks for semantic- guided scene generation,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Local class-specific and global image-level generative adversarial networks for semantic- guided scene generation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.795619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d2076c6b-f391-46e0-ad55-10dd4b3575ad · outbound

This paper cites Image synthesis via semantic composition,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Image synthesis via semantic composition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.753864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a2d29df3-43ea-4d71-a826-b9beb4eacf1c · outbound

This paper cites Learning local image descriptors,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Learning local image descriptors,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.695205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f6731fa6-abb1-4d58-8243-04dc2d09ee5d · outbound

This paper cites Local feature descriptor for image matching: A survey,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Local feature descriptor for image matching: A survey,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.672341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d3f4bc73-157d-4ae1-96cb-5beede18cb0f · outbound

This paper cites An efficient image descriptor for image classification and cbir,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding An efficient image descriptor for image classification and cbir,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.584328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4408cc07-129f-409d-afff-52ef3d243af5 · outbound

This paper cites Deep residual learning for image recognition,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Deep residual learning for image recognition,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:39.332705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5bbf53f-8405-4b28-a607-999ac83c2a96 · outbound

This paper cites Xception: Deep learning with depthwise separable convolu- tions,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Xception: Deep learning with depthwise separable convolu- tions,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.505687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation acb00b73-7574-4713-bb41-1b6af5b57ac6 · outbound

This paper cites Rotate to attend: Convolutional triplet attention module,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Rotate to attend: Convolutional triplet attention module,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.461757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c2540137-01fe-4866-851e-d69fec69ae47 · outbound

This paper cites Scconv: Spatial and channel reconstruction convolution for feature redundancy,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Scconv: Spatial and channel reconstruction convolution for feature redundancy,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.390086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 30d0410d-6062-46c5-a5f4-991dc51739f6 · outbound

This paper cites You Only Need Adversarial Supervision for Semantic Image Synthesis.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding You Only Need Adversarial Supervision for Semantic Image Synthesis

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:39.352171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 350e67fa-9892-4dcc-afd9-6505fa6ff503 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:39.357835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af954eb2-45bd-493e-a720-9c5af0ef5094 · outbound

This paper cites Conditional Generative Adversarial Nets.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Conditional Generative Adversarial Nets

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:39.409222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a24b9a1b-ea07-4e48-abf4-33d35e198d60 · outbound

This paper cites Self-attention generative adversarial networks,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Self-attention generative adversarial networks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.351296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 591fd584-aad5-4b39-b2c2-4c54e0a026d7 · outbound

This paper cites Spectral Normalization for Generative Adversarial Networks.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Spectral Normalization for Generative Adversarial Networks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:39.452243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd76b2df-c567-449c-8542-7e5333c616bc · outbound

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

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:39.459228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d51f114d-e291-4a35-b7f5-ad6c3835e846 · outbound

This paper cites Unpaired image-to-image translation with shortest path regularization,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Unpaired image-to-image translation with shortest path regularization,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.300398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1e64839-980a-43c5-a6c5-08431b716530 · outbound

This paper cites Land-cover classification with high-resolution remote sensing images using transferable deep models,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Land-cover classification with high-resolution remote sensing images using transferable deep models,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.278846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 878bc95b-8a9e-4d15-bb8c-284e3121ed8b · outbound

This paper cites Isprs semantic labeling contest,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Isprs semantic labeling contest,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.233497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation efb836d0-b0de-4fd0-aaf6-54ba635f4d2c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Adam: A Method for Stochastic Optimization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:39.574277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1744b94-11f7-49e7-b151-47bcac5c6e07 · outbound

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

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.209930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9b231155-542a-436a-9eea-9b8b3a65b5f9 · outbound

This paper cites Inception-v3 for flower classification,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Inception-v3 for flower classification,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.114840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5def34cb-39b2-477b-8490-046065dcf310 · outbound

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

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.099312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 90704f69-8e8e-4fa6-96d9-dbabed497eb7 · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding Encoder- decoder with atrous separable convolution for semantic image segmen- tation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:40.025546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 16b6fe66-99a8-44d0-9c2c-e4bb7e367042 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding The unreasonable effectiveness of deep features as a perceptual metric,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:58:39.950231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers