Less-to-More Generalization: Unlocking More Controllability by In-Context Generation | Paper Citation Record

Observation e0af591f-9c6b-49b2-9505-4516f554c4b5 · inbound

FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation cites this paper.

FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:11:54.569021Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 885d3daf-870b-416e-85b9-470b63d58f7c · inbound

In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer cites this paper.

In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:07:53.089204Z

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Observation 320137bf-3f49-434a-a5a4-e127f3e0da13 · inbound

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis cites this paper.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:29.227782Z

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Observation cc34760f-04e2-40e4-8373-2730428d775e · inbound

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers cites this paper.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:24.209707Z

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Observation 9566bd98-1cac-4de7-afb5-0f23f089cbc9 · inbound

Image Editing As Programs with Diffusion Models cites this paper.

Image Editing As Programs with Diffusion Models Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:38.555957Z

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Observation f8ed8aab-b6c4-4014-ac81-e2676973098e · inbound

FullDiT2: Efficient In-Context Conditioning for Video Diffusion Transformers cites this paper.

FullDiT2: Efficient In-Context Conditioning for Video Diffusion Transformers Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:45.926726Z

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Observation bc18696b-d073-4b85-92ea-4cabc108bb91 · inbound

PairEdit: Learning Semantic Variations for Exemplar-based Image Editing cites this paper.

PairEdit: Learning Semantic Variations for Exemplar-based Image Editing Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:14.863460Z

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Observation ef199316-fc17-48f4-94e0-96ea07d976d4 · inbound

OmniGen2: Towards Instruction-Aligned Multimodal Generation cites this paper.

OmniGen2: Towards Instruction-Aligned Multimodal Generation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:52:10.924837Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f96b9a0a-e68f-47f6-ae2c-98ae8c6a048d · inbound

XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation cites this paper.

XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T22:31:37.542461Z

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Observation 94b5e726-2eaa-4714-abaa-c5571e8cbdde · inbound

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention cites this paper.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:16.749206Z

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Observation b6c24b32-0c70-4d77-9ea5-2b4950a3001b · inbound

FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization cites this paper.

FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:25.155847Z

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Observation 77515524-4a0b-4c95-91a5-f8085a14a04d · inbound

DreamPainter: Image Background Inpainting for E-commerce Scenarios cites this paper.

DreamPainter: Image Background Inpainting for E-commerce Scenarios Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T05:11:38.326855Z

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Observation 6770393b-c88b-4663-8b23-dc95edadc091 · inbound

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation cites this paper.

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-05T20:44:16.671224Z

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Observation e6420c93-3141-4cb9-bc5a-1443315e3a4b · inbound

USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning cites this paper.

USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T16:07:24.715507Z

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Observation ffc348a3-a6be-45e0-9a27-9ec261c14643 · inbound

FocusDPO: Dynamic Preference Optimization for Multi-Subject Personalized Image Generation via Adaptive Focus cites this paper.

FocusDPO: Dynamic Preference Optimization for Multi-Subject Personalized Image Generation via Adaptive Focus Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T12:53:42.038331Z

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Observation 299a3d50-ab0c-4d08-9f21-970dc41eb57f · inbound

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation cites this paper.

EditIDv2: Editable ID Customization with Data-Lubricated ID Feature Integration for Text-to-Image Generation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T05:20:00.975597Z

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Observation e7b1079e-987c-4055-8827-e5e0b9820761 · inbound

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward cites this paper.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.112747Z

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Observation 09e1d13a-23f6-4a4d-ad06-9f9249e653a2 · inbound

Adversarial Concept Distillation for One-Step Diffusion Personalization cites this paper.

Adversarial Concept Distillation for One-Step Diffusion Personalization Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:50:53.716606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3cda477b-2e74-45b3-b8ba-0f001350c7df · inbound

Emu3.5: Native Multimodal Models are World Learners cites this paper.

Emu3.5: Native Multimodal Models are World Learners Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:12:13.604462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ec24dd0-c196-4990-81ed-38cfda623f4c · inbound

iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation cites this paper.

iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T06:47:09.770582Z

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Observation 89f132e9-1361-4b30-ab54-33d6438d371b · inbound

PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards cites this paper.

PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:51:29.452509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b242daf-048c-4226-a46c-cff78e317caf · inbound

Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling cites this paper.

Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:41:19.273475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15a56cba-fde1-406b-9f63-cdcf368c9d73 · inbound

Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling cites this paper.

Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T16:37:07.025646Z

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Observation 6ab24eaa-faef-49e4-9662-4c8c07a8f291 · inbound

InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation cites this paper.

InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:11:11.439190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a151d56-3f35-429f-8e46-63e055cc6fa7 · inbound

Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training cites this paper.

Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T12:23:34.499794Z

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Observation a56049df-3c24-4d30-8fd4-57b3a0aad5db · inbound

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation cites this paper.

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T05:01:44.798189Z

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Observation 545ce45c-36c2-42d1-8df5-888c46cb507f · inbound

PureCC: Pure Learning for Text-to-Image Concept Customization cites this paper.

PureCC: Pure Learning for Text-to-Image Concept Customization Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:10:02.191673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f93df6df-f217-41c1-8d9d-5ee14c5c2dc6 · inbound

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation cites this paper.

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:20:09.038403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32f50ad0-35a9-4a69-929e-03e5d090a695 · inbound

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation cites this paper.

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-15T12:51:20.969593Z

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Unavailable: canonical work link unavailable.

Observation 0863cc3f-de39-460c-89d6-602100cf9eb1 · inbound

Vanast: Virtual Try-On with Human Image Animation via Synthetic Triplet Supervision cites this paper.

Vanast: Virtual Try-On with Human Image Animation via Synthetic Triplet Supervision Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:49.159415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bc31739b-5222-401d-8185-0078b8cbf692 · inbound

ID-Sim: An Identity-Focused Similarity Metric cites this paper.

ID-Sim: An Identity-Focused Similarity Metric Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:50.711747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7be5e315-df86-4dcf-b933-1fbb0bb5cc56 · inbound

ASTRA: Enhancing Multi-Subject Generation with Retrieval-Augmented Pose Guidance and Disentangled Position Embedding cites this paper.

ASTRA: Enhancing Multi-Subject Generation with Retrieval-Augmented Pose Guidance and Disentangled Position Embedding Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.292556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 112a85e2-383c-40ac-a64b-e27168ced281 · inbound

Towards In-Context Tone Style Transfer with A Large-Scale Triplet Dataset cites this paper.

Towards In-Context Tone Style Transfer with A Large-Scale Triplet Dataset Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:08:26.585621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d7f9a77-74be-48b5-ba6c-75b2b3313907 · inbound

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition cites this paper.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:51:27.752417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 782ebfba-ac51-4bef-8a25-91509d0b5ad7 · inbound

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition cites this paper.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:58:03.316628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d1885c3e-102a-4db1-9745-c660d2eb4bcd · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:48:14.799855Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9a2707d-6317-42e9-b7a5-b8f0c5c9e179 · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 129

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:59:50.555217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a0e91a7-66b2-42db-a4e2-81591b233fbb · inbound

UniVerse: A Unified Modulation Framework for Segmentation-Free,Disentangled Multi-Concept Personalization cites this paper.

UniVerse: A Unified Modulation Framework for Segmentation-Free,Disentangled Multi-Concept Personalization Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.761725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c9b636d-2cf4-4acb-a1f7-b203ac2d12c4 · inbound

RAVA: Retrieval-Augmented Viewpoint Alignment for Subject-Driven Image Generation cites this paper.

RAVA: Retrieval-Augmented Viewpoint Alignment for Subject-Driven Image Generation Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:08:50.370514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fba856a1-923d-4f63-a43d-c12404ffca11 · inbound

ICDepth: Taming Video Diffusion Models for Video Depth Estimation via In-Context Conditioning cites this paper.

ICDepth: Taming Video Diffusion Models for Video Depth Estimation via In-Context Conditioning Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:08:42.886922Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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