Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction | Paper Citation Record

Observation 31de54fd-0a01-4c70-a949-50052a0a5e8c · outbound

This paper cites Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation

Reference 1

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Observation ae735548-e7e1-4871-b738-b83402ecd322 · outbound

This paper cites Demystifying mmd gans.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Demystifying mmd gans

Reference 2

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Observation 09bc8d61-80a5-4c6a-801d-de7bb891ffe3 · outbound

This paper cites Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 3

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Observation 481f4034-d846-423f-b93c-1477b12fa1a0 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Quo vadis, action recognition? a new model and the kinetics dataset

Reference 4

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Observation fe7cbefc-17c5-4cc4-9f84-58a2b3836f50 · outbound

This paper cites Wear-any-way: Manip- ulable virtual try-on via sparse correspondence alignment.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Wear-any-way: Manip- ulable virtual try-on via sparse correspondence alignment

Reference 5

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Observation aa9cf882-1347-4ea7-9c88-c12f79e40931 · outbound

This paper cites Text-to-3d using gaussian splatting.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Text-to-3d using gaussian splatting

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:01.877717Z

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Observation 9a1da9e0-4c92-4f15-857a-38ab2b011157 · outbound

This paper cites Viton-hd: High-resolution virtual try-on via misalignment-aware normalization.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Viton-hd: High-resolution virtual try-on via misalignment-aware normalization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:01.683855Z

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Observation 4dec85d0-f884-423f-8b1f-3a4d0a48fd53 · outbound

This paper cites Improving diffusion models for au- thentic virtual try-on in the wild.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Improving diffusion models for au- thentic virtual try-on in the wild

Reference 8

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Observation ea1842d5-a030-4598-8f60-36bdf0aeb641 · outbound

This paper cites Diffusion models in vision: A survey.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Diffusion models in vision: A survey

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:01.378312Z

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Observation 748eb85c-f3aa-4ba3-a248-99e8254ec78a · outbound

This paper cites Fw-gan: Flow-navigated warping gan for video virtual try-on.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Fw-gan: Flow-navigated warping gan for video virtual try-on

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:01.206852Z

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Observation 9d72fa02-4239-4f01-8ac1-227db02e3824 · outbound

This paper cites Fash- ion editing with adversarial parsing learning.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Fash- ion editing with adversarial parsing learning

Reference 11

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Observation 17d2f49a-0671-4497-b1c6-0cbad644d52b · outbound

This paper cites ViViD: Video Virtual Try-on using Diffusion Models.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction ViViD: Video Virtual Try-on using Diffusion Models

Reference 12

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Observation d5340c16-111d-484c-a25a-9d2322e9e55d · outbound

This paper cites Guess: Gradually enriching synthesis for text-driven human motion generation.IEEE Transactions on Visualization and Computer Graphics, 30 (12):7518–7530, 2024.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Guess: Gradually enriching synthesis for text-driven human motion generation.IEEE Transactions on Visualization and Computer Graphics, 30 (12):7518–7530, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:00.885353Z

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Observation 58856eaf-444e-4cc1-ab02-becfca474bfe · outbound

This paper cites Parser-free virtual try-on via distilling appearance flows.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Parser-free virtual try-on via distilling appearance flows

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:00.682411Z

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Observation ffb14a1b-df04-4ba2-99da-b62f321b26e3 · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Generative adversarial nets.Advances in neural information processing systems, 27, 2014

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:47.268299Z

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Observation fb31ce22-490d-4f7a-9899-5975c5070a0a · outbound

This paper cites Taming the power of diffusion models for high-quality virtual try-on with appearance flow.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Taming the power of diffusion models for high-quality virtual try-on with appearance flow

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:00.483375Z

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Observation 5b1a0776-90f1-480a-a713-6f1cddcc3804 · outbound

This paper cites Animatediff: Animate your personalized text-to-image diffusion models without specific tuning.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:55:00.256534Z

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Observation 45b717ba-696d-4040-8248-e8191b09e622 · outbound

This paper cites Generatect: text- conditional generation of 3d chest ct volumes.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Generatect: text- conditional generation of 3d chest ct volumes

Reference 18

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Observation ffe29e89-92fc-44f1-997a-49c46513b22b · outbound

This paper cites Viton: An image-based virtual try-on network.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Viton: An image-based virtual try-on network

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:59.832387Z

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Observation 89f0fbdd-5fe2-432c-ab8c-62c888f5c9d0 · outbound

This paper cites Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet? InCVPR, 2018.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet? InCVPR, 2018

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:59.569102Z

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Observation bf274686-edd7-4e45-81ec-d7641d9001e7 · outbound

This paper cites Wildvidfit: Video virtual try- on in the wild via image-based controlled diffusion models.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Wildvidfit: Video virtual try- on in the wild via image-based controlled diffusion models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:59.478415Z

Source-reported events for the cited work

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Observation 1df23c6b-0e61-4508-8c22-79569d566e11 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017

Reference 22

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Observation 2d7ce898-5b34-447f-8ae3-c3815ea5b629 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 23

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Observation 268b8033-9b4d-436b-a8c0-f8a882679739 · outbound

This paper cites Animate anyone: Consistent and controllable image- to-video synthesis for character animation.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Animate anyone: Consistent and controllable image- to-video synthesis for character animation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:59.291228Z

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Observation a194b987-7859-43cf-adeb-9cf120f19dd8 · outbound

This paper cites Training- free content injection using h-space in diffusion models.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Training- free content injection using h-space in diffusion models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:59.128280Z

Source-reported events for the cited work

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Observation 0bbf66eb-476d-4bd3-954a-055438f223b1 · outbound

This paper cites Cloth- former: Taming video virtual try-on in all module.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Cloth- former: Taming video virtual try-on in all module

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:58.916893Z

Source-reported events for the cited work

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Observation 2df0f845-d423-41fb-86d4-d79ce78360f4 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Adam: A Method for Stochastic Optimization

Reference 27

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Observation 9a7daf4c-5e7b-4183-b10e-be8099bf4f56 · outbound

This paper cites Shineon: Illuminating design choices for prac- tical video-based virtual clothing try-on.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Shineon: Illuminating design choices for prac- tical video-based virtual clothing try-on

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:58.740438Z

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Observation 0ca54db5-95b7-4b24-8d16-d2745c928a4e · outbound

This paper cites Harivo: Harnessing text-to-image models for video generation.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Harivo: Harnessing text-to-image models for video generation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:58.607167Z

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Observation f4ca6d91-2f23-4e2d-a030-0d9a270a9627 · outbound

This paper cites High-resolution virtual try-on with 9 misalignment and occlusion-handled conditions.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction High-resolution virtual try-on with 9 misalignment and occlusion-handled conditions

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:58.464320Z

Source-reported events for the cited work

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Observation 6fec8036-6e76-4c5d-9eda-b15d1d524576 · outbound

This paper cites Virtual try-on with pose-garment keypoints guided inpaint- ing.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Virtual try-on with pose-garment keypoints guided inpaint- ing

Reference 31

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Observation 88776769-bb57-488d-93d6-026f896cf0e2 · outbound

This paper cites Tsm: Temporal shift module for efficient video understanding.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Tsm: Temporal shift module for efficient video understanding

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:58.183446Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 38feed65-42a6-44e7-bd43-499afeda61dd · outbound

This paper cites Dress code: High- resolution multi-category virtual try-on.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Dress code: High- resolution multi-category virtual try-on

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:57.910541Z

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Observation 68c47574-cba1-48b4-80a0-6d07f16d67e2 · outbound

This paper cites Ladi-vton: Latent diffusion textual-inversion enhanced virtual try-on.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Ladi-vton: Latent diffusion textual-inversion enhanced virtual try-on

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:57.647706Z

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Observation 4de4040a-de50-43f2-a4fd-d34cae7e53f3 · outbound

This paper cites Deep generative design: integration of topology optimization and generative models.Journal of Mechanical Design, 141(11):111405, 2019.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Deep generative design: integration of topology optimization and generative models.Journal of Mechanical Design, 141(11):111405, 2019

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:57.419520Z

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Observation 25a45578-95e9-4e5b-a8f0-8e995244b376 · outbound

This paper cites To create what you tell: Generating videos from cap- tions.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction To create what you tell: Generating videos from cap- tions

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:57.163359Z

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Observation 7b2c40d8-1255-4e69-9042-bae7ae2d920b · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Learn- ing transferable visual models from natural language super- vision

Reference 37

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Observation 69186465-d550-4281-92e4-0edcc51cf3a4 · outbound

This paper cites You only look once: Unified, real-time object detection.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction You only look once: Unified, real-time object detection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:56.932419Z

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Observation 33d48cd0-6eed-46da-82f2-b7351b4a46c8 · outbound

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

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction High-resolution image syn- thesis with latent diffusion models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:49.831295Z

Source-reported events for the cited work

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Observation e0d79e23-6b46-4b35-a950-cef3f6ddd93f · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction U-net: Convolutional networks for biomedical image segmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:56.708905Z

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Observation f6f13f02-e047-47f1-9bc1-b3697ec5f8a0 · outbound

This paper cites Denoising Diffusion Implicit Models.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Denoising Diffusion Implicit Models

Reference 41

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Observation 06cd2259-7e51-4969-aa88-8d07afa30f15 · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Plug-and-play diffusion features for text-driven image-to-image translation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:56.446428Z

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Observation 7aa0f9d4-da9b-41db-8f70-be9496703546 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:50.188565Z

Source-reported events for the cited work

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Observation 2f8851f2-9509-4260-bf48-41994e048eaf · outbound

This paper cites Improving virtual try-on with garment-focused diffusion models.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Improving virtual try-on with garment-focused diffusion models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:56.160293Z

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Observation c54b832d-fb9f-4b1b-a9bd-fc3640aeed15 · outbound

This paper cites Toward characteristic- preserving image-based virtual try-on network.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Toward characteristic- preserving image-based virtual try-on network

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:55.892979Z

Source-reported events for the cited work

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Observation 22d0bf6f-5d8d-4eae-ac10-3d9b5ee2d470 · outbound

This paper cites Gpd-vvto: Preserving garment details in video virtual try-on.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Gpd-vvto: Preserving garment details in video virtual try-on

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:55.632481Z

Source-reported events for the cited work

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Observation fcaad315-2e1b-4756-9c6d-70b49bb2fbea · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 47

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Source-reported events for the cited work

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Observation 0a856155-5f9d-4b62-a5c9-0099f68dcbfe · outbound

This paper cites Gp- vton: Towards general purpose virtual try-on via collabora- tive local-flow global-parsing learning.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Gp- vton: Towards general purpose virtual try-on via collabora- tive local-flow global-parsing learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:55.364261Z

Source-reported events for the cited work

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Observation 109c476c-eef1-486b-8455-84dad1aae176 · outbound

This paper cites Simda: Simple diffusion adapter for efficient video generation.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Simda: Simple diffusion adapter for efficient video generation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:55.109282Z

Source-reported events for the cited work

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Observation f4517e9c-2a6e-49fb-80fd-388fcd43b1da · outbound

This paper cites OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

Reference 50

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This paper cites Tunnel try-on: Excavating spatial-temporal tunnels for high-quality virtual try-on in videos.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Tunnel try-on: Excavating spatial-temporal tunnels for high-quality virtual try-on in videos

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:54.826624Z

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Observation 775de286-724e-4526-9566-6a81144033c7 · outbound

This paper cites Texture-preserving diffusion models for high-fidelity virtual try-on.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Texture-preserving diffusion models for high-fidelity virtual try-on

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:54.605790Z

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Observation b78a0a11-3dfd-4a44-a3d0-a137e7d6e5df · outbound

This paper cites Effec- tive whole-body pose estimation with two-stages distillation.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Effec- tive whole-body pose estimation with two-stages distillation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:54.359431Z

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Observation cd91391e-db9e-48f6-bc2b-6a18b8c95349 · outbound

This paper cites Cat-dm: Controllable acceler- ated virtual try-on with diffusion model.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Cat-dm: Controllable acceler- ated virtual try-on with diffusion model

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:54.117739Z

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Observation 7f57499d-5c1e-426c-b668-7e9e0db770a7 · outbound

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

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction The unreasonable effectiveness of deep features as a perceptual metric

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:51.340393Z

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Observation 1a0465a8-32db-41d0-ac51-6db73938c4a0 · outbound

This paper cites Stableviton: Learning semantic correspondence with latent diffusion model for virtual try- on.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Stableviton: Learning semantic correspondence with latent diffusion model for virtual try- on

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:53.881785Z

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Observation 92e7ae17-d028-4628-bf97-a344abc5a197 · outbound

This paper cites MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:51.521925Z

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Observation 96cbf3e0-88b5-4e50-89ff-9e50d23e8966 · outbound

This paper cites Towards consistent video edit- ing with text-to-image diffusion models.Advances in Neural Information Processing Systems, 36:58508–58519, 2023.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Towards consistent video edit- ing with text-to-image diffusion models.Advances in Neural Information Processing Systems, 36:58508–58519, 2023

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:53.557733Z

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Observation 7fa6eef5-d4ff-4d43-b115-292fe8f8c3e0 · outbound

This paper cites Trip: Temporal residual learning with image noise prior for image-to-video diffusion models.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Trip: Temporal residual learning with image noise prior for image-to-video diffusion models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:53.161995Z

Source-reported events for the cited work

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Observation b20dd97d-d172-44ee-af09-7cb2415b047d · outbound

This paper cites VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:51.847344Z

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Observation f63f0c49-7d52-4e0c-86dc-fb874af26bc5 · outbound

This paper cites Mv-ton: Memory-based video virtual try- on network.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Mv-ton: Memory-based video virtual try- on network

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:52.793047Z

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Observation 56f2bfef-d059-464a-be39-db347228c352 · outbound

This paper cites Tryondiffusion: A tale of two un- ets.

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction Tryondiffusion: A tale of two un- ets

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:52.465600Z

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