SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models | Paper Citation Record

Observation bf3ecaa9-3fc7-464c-9781-a27b06485f61 · outbound

This paper cites K., Hayase, J., and Srinivasa, S.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models K., Hayase, J., and Srinivasa, S

Reference 1

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Observation 4f5fc4c5-e04e-4703-89f6-782398fb2712 · outbound

This paper cites J., Lu, Z., Wu, E., and Hu, J.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models J., Lu, Z., Wu, E., and Hu, J

Reference 2

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Observation dae8cdf0-816a-4ccf-80fd-30ffe3f1c224 · outbound

This paper cites Iteris: Iterative inference-solving alignment for lora merging.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Iteris: Iterative inference-solving alignment for lora merging

Reference 3

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Observation b8d9fdf6-92c9-493f-9bff-8c8876983455 · outbound

This paper cites SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging

Reference 4

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This paper cites and Belilovsky, E.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models and Belilovsky, E

Reference 5

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Observation e1b70416-025c-4376-9b3a-3b142319deef · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Arcface: Additive angular margin loss for deep face recognition

Reference 6

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Observation 766747bb-bc57-4f5e-ac1e-035dc5d84874 · outbound

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

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Implicit style-content separation using b-lora

Reference 7

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Observation f51f3f7d-fdc9-4c84-879e-f09070d3fa60 · outbound

This paper cites A., Crisostomi, D., Bucarelli, M.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models A., Crisostomi, D., Bucarelli, M

Reference 8

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This paper cites Z., Shi, Y., Chen, Y., Fan, Z., Xiao, W., Zhao, R., Chang, S., Wu, W., et al.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Z., Shi, Y., Chen, Y., Fan, Z., Xiao, W., Zhao, R., Chang, S., Wu, W., et al

Reference 9

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This paper cites Denoising diffusion probabilistic models.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Denoising diffusion probabilistic models

Reference 10

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Observation 71b3f934-3990-42ce-a4bb-c3eb242ea5b3 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Parameter-efficient transfer learning for nlp

Reference 11

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This paper cites J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., Chen, W., et al.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., Chen, W., et al

Reference 12

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Observation 1404dd25-e051-4c6d-841e-155a752aecf2 · outbound

This paper cites Y., Pang, T., Du, C., and Lin, M.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Y., Pang, T., Du, C., and Lin, M

Reference 13

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Observation b80820f0-d89c-400d-8c4d-1ff86468f917 · outbound

This paper cites Emr-merging: Tuning-free high-performance model merging.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Emr-merging: Tuning-free high-performance model merging

Reference 14

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This paper cites T., Wortsman, M., Gururangan, S., Schmidt, L., Hajishirzi, H., and Farhadi, A.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models T., Wortsman, M., Gururangan, S., Schmidt, L., Hajishirzi, H., and Farhadi, A

Reference 15

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This paper cites Dataless knowledge fusion by merging weights of language models.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Dataless knowledge fusion by merging weights of language models

Reference 16

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This paper cites A style-based generator architecture for generative adversarial networks.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models A style-based generator architecture for generative adversarial networks

Reference 17

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SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Unresolved cited work

Reference 18

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This paper cites The power of scale for parameter-efficient prompt tuning.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models The power of scale for parameter-efficient prompt tuning

Reference 19

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SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Unresolved cited work

Reference 20

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This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 21

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Observation fecf747b-3633-4e04-a93d-fef47d2de567 · outbound

This paper cites Twin-merging: Dynamic integration of modular expertise in model merging.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Twin-merging: Dynamic integration of modular expertise in model merging

Reference 22

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This paper cites Unipelt: A unified framework for parameter-efficient language model tuning.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Unipelt: A unified framework for parameter-efficient language model tuning

Reference 23

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This paper cites D., and van de Weijer, J.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models D., and van de Weijer, J

Reference 24

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SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Unresolved cited work

Reference 25

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This paper cites DINOv2: Learning Robust Visual Features without Supervision.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models DINOv2: Learning Robust Visual Features without Supervision

Reference 26

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Observation 8c481d6b-5cd4-4187-89a7-7cc652477b32 · outbound

This paper cites K-lora: Unlocking training-free fusion of any subject and style loras.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models K-lora: Unlocking training-free fusion of any subject and style loras

Reference 27

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This paper cites D., Calderara, S., and van de Weijer, J.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models D., Calderara, S., and van de Weijer, J

Reference 28

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This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 29

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

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 30

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

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 31

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This paper cites Duolora: Cycle-consistent and rank-disentangled content-style personalization.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Duolora: Cycle-consistent and rank-disentangled content-style personalization

Reference 32

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This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 33

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This paper cites L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al

Reference 34

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

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Ziplora: Any subject in any style by effectively merging loras

Reference 35

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SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Unresolved cited work

Reference 36

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This paper cites P., Kumar, A., Ermon, S., and Poole, B.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models P., Kumar, A., Ermon, S., and Poole, B

Reference 37

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This paper cites Zipit! merging models from different tasks without training.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Zipit! merging models from different tasks without training

Reference 38

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This paper cites Model merging with svd to tie the knots.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Model merging with svd to tie the knots

Reference 39

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This paper cites arXiv preprint arXiv:2312.06173 (2023).

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models arXiv preprint arXiv:2312.06173 (2023)

Reference 40

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This paper cites Diffusers: State-of-the-art diffusion models.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Diffusers: State-of-the-art diffusion models

Reference 41

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This paper cites Lora-flow: Dynamic lora fusion for large language models in generative tasks.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Lora-flow: Dynamic lora fusion for large language models in generative tasks

Reference 42

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This paper cites Localizing task information for improved model merging and compression.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Localizing task information for improved model merging and compression

Reference 43

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This paper cites Modeling multi-task model merging as adaptive projective gradient descent.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Modeling multi-task model merging as adaptive projective gradient descent

Reference 44

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SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Unresolved cited work

Reference 45

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This paper cites L., Gugger, S., Drame, M., Lhoest, Q., and Rush, A.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models L., Gugger, S., Drame, M., Lhoest, Q., and Rush, A

Reference 46

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This paper cites Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A

Reference 47

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This paper cites Qwen-Image Technical Report.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Qwen-Image Technical Report

Reference 48

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Observation 4a472e4a-2e47-4dd0-b75c-768efb67f143 · outbound

This paper cites Mixture of LoRA Experts.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Mixture of LoRA Experts

Reference 49

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This paper cites A., and Bansal, M.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models A., and Bansal, M

Reference 50

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Observation 6aa3bab3-b5f0-457c-888b-2b215654fc68 · outbound

This paper cites Representation surgery for multi-task model merging.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Representation surgery for multi-task model merging

Reference 51

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Observation 51384717-20f9-4348-b28c-b5912a6d7ac9 · outbound

This paper cites Adamerging: Adaptive model merging for multi-task learning.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Adamerging: Adaptive model merging for multi-task learning

Reference 52

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Observation 7744519c-8045-46f6-8934-3b02cc6824e4 · outbound

This paper cites Lora-composer: Leveraging low-rank adaptation for multi-concept customization in training-free diffusion models.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Lora-composer: Leveraging low-rank adaptation for multi-concept customization in training-free diffusion models

Reference 53

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This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 54

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Observation 39c44dbb-7fe5-4959-861c-962eafaa78a3 · outbound

This paper cites Robustmerge: Parameter-efficient model merging for mllms with direction robustness.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Robustmerge: Parameter-efficient model merging for mllms with direction robustness

Reference 55

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Observation 6d3a5653-3758-4c61-a33a-27b2d7d3b794 · outbound

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

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Adding conditional control to text-to-image diffusion models

Reference 56

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Observation b5a897ae-51b6-4a2f-9e28-6c3de9466bae · outbound

This paper cites LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild

Reference 57

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