TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs | Paper Citation Record

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This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation,

Reference 1

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Observation d726bc0c-741b-47db-9faa-edd19846277f · outbound

This paper cites Tokenflow: Unified image tokenizer for multimodal understanding and generation,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Tokenflow: Unified image tokenizer for multimodal understanding and generation,

Reference 2

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This paper cites Text2video-zero: Text-to-image diffusion models are zero-shot video generators,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Text2video-zero: Text-to-image diffusion models are zero-shot video generators,

Reference 3

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This paper cites Ccedit: Creative and controllable video editing via diffusion models,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Ccedit: Creative and controllable video editing via diffusion models,

Reference 4

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Observation fb830f27-c3ed-4215-ad0d-1187587f0dab · outbound

This paper cites Controlvideo: Training-free controllable text-to-video generation,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Controlvideo: Training-free controllable text-to-video generation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:57.919016Z

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Observation b9a50780-125f-42b2-988f-e6e5d402579e · outbound

This paper cites Fatezero: Fusing attentions for zero-shot text-based video editing,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Fatezero: Fusing attentions for zero-shot text-based video editing,

Reference 6

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Observation 05c9366b-5047-46ac-8824-75e3d23a5552 · outbound

This paper cites Flatten: optical flow-guided attention for consistent text-to-video editing,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Flatten: optical flow-guided attention for consistent text-to-video editing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:57.555158Z

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This paper cites Fresco: Spatial-temporal correspondence for zero-shot video translation,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Fresco: Spatial-temporal correspondence for zero-shot video translation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:57.301203Z

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Observation 47e9861c-8a2d-4354-b017-20dbd203fab1 · outbound

This paper cites Pix2video: Video editing using image diffusion,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Pix2video: Video editing using image diffusion,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:57.154855Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 77254bda-3784-410c-9557-33efcdda1cfb · outbound

This paper cites Rave: Randomized noise shuffling for fast and consistent video editing with diffusion models,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Rave: Randomized noise shuffling for fast and consistent video editing with diffusion models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:56.972919Z

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Observation 6d9acb26-1789-4300-a8ff-33f813aa1edb · outbound

This paper cites Slicedit: Zero-shot video editing with text-to-image diffusion models using spatio-temporal slices,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Slicedit: Zero-shot video editing with text-to-image diffusion models using spatio-temporal slices,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:56.824036Z

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Observation ad892360-db24-4767-b16a-1ac2c692ca94 · outbound

This paper cites Zero-shot video editing using off-the-shelf image diffusion models,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Zero-shot video editing using off-the-shelf image diffusion models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:56.720375Z

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Observation 76e4353c-1fb6-48f1-ab9d-c5f18c8268da · outbound

This paper cites Video quality assessment: A comprehensive survey,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Video quality assessment: A comprehensive survey,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:56.573558Z

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Observation e4796152-584e-4f9a-81d4-47c9342fe8d8 · outbound

This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Exploring video quality assessment on user generated contents from aesthetic and technical perspectives,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:56.401381Z

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This paper cites Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:56.275262Z

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This paper cites A deep learning based no-reference quality assessment model for ugc videos,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs A deep learning based no-reference quality assessment model for ugc videos,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:56.115372Z

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Observation 075bcaea-ff09-4a68-b72e-52c2829fc70e · outbound

This paper cites Quality assessment of in-the-wild videos,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Quality assessment of in-the-wild videos,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:55.923996Z

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Observation db5585b8-a3c6-4ad3-8baa-48519105547e · outbound

This paper cites Ugc-vqa: Benchmarking blind video quality assessment for user generated content,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Ugc-vqa: Benchmarking blind video quality assessment for user generated content,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:55.755136Z

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Observation 015e49cc-725b-4faa-83a4-9c08c135c34f · outbound

This paper cites Ve-bench: Subjective-aligned benchmark suite for text-driven video editing quality assessment,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Ve-bench: Subjective-aligned benchmark suite for text-driven video editing quality assessment,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:55.658082Z

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Observation 67dc21db-bbe0-4bd6-a807-dea04770e5b2 · outbound

This paper cites Subjective-aligned dataset and metric for text-to-video quality assessment,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Subjective-aligned dataset and metric for text-to-video quality assessment,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:55.566921Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 382ed968-9186-4e37-a265-2431fb21154b · outbound

This paper cites Aigv-assessor: Benchmarking and evaluating the perceptual quality of text-to-video generation with lmm,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Aigv-assessor: Benchmarking and evaluating the perceptual quality of text-to-video generation with lmm,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:55.397791Z

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Observation 37e63f66-13fb-4635-8466-3d8fe8f257ed · outbound

This paper cites Cvpr 2023 text guided video editing competition,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Cvpr 2023 text guided video editing competition,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:55.263392Z

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Observation 8567a7a2-5497-4f38-bc97-57584fa67d93 · outbound

This paper cites Harnessing the power of llms in practice: A survey on chatgpt and beyond,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Harnessing the power of llms in practice: A survey on chatgpt and beyond,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:55.127769Z

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Observation 909a4cb3-8658-48fb-9a50-7f876484b7a9 · outbound

This paper cites Señorita- 2m: A high-quality instruction-based dataset for general video editing by video specialists,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Señorita- 2m: A high-quality instruction-based dataset for general video editing by video specialists,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:54.957500Z

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Observation fc602e93-00f8-4104-9789-58f37f95a2e1 · outbound

This paper cites The 2017 davis challenge on video object segmentation,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs The 2017 davis challenge on video object segmentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:54.811565Z

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This paper cites The kinetics human action video dataset,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs The kinetics human action video dataset,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:54.691934Z

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This paper cites JimengAI.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs JimengAI

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:54.573138Z

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This paper cites Methodology for the subjective assessment of the quality of television pictures,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Methodology for the subjective assessment of the quality of television pictures,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:54.428466Z

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This paper cites Blind image quality assessment based on high order statistics aggregation,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Blind image quality assessment based on high order statistics aggregation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:54.235971Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites Learning without human scores for blind image quality assessment,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Learning without human scores for blind image quality assessment,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:54.125353Z

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This paper cites Making a “completely blind.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Making a “completely blind

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:54.055030Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites Clipscore: A reference-free evaluation metric for image captioning,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Clipscore: A reference-free evaluation metric for image captioning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:53.999272Z

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This paper cites Evaluating Text-to-Visual Generation with Image-to-Text Generation.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Evaluating Text-to-Visual Generation with Image-to-Text Generation

Reference 33

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This paper cites LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs

Reference 34

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This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning,

Reference 35

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 36

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Observation 514cfcbf-2390-4329-9e73-c59ea492ffa2 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:53.808845Z

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Observation 2a2ac725-4e2f-4ca5-9db3-93e2c7a3cef6 · outbound

This paper cites MLP-Mixer: An all-MLP Architecture for Vision.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs MLP-Mixer: An all-MLP Architecture for Vision

Reference 38

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This paper cites How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

Reference 39

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This paper cites When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Reference 40

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Observation 0db7e7a8-44cb-495a-88e1-b7ee9eb8c641 · outbound

This paper cites Surrogate gap minimization improves sharpness-aware training,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Surrogate gap minimization improves sharpness-aware training,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:53.597132Z

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Observation 761438d2-410b-48c9-a6b6-59cb3f6a55f7 · outbound

This paper cites Lit: Zero-shot transfer with locked-image text tuning,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Lit: Zero-shot transfer with locked-image text tuning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:53.438080Z

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Observation 1664f839-5ebe-4a7c-bb8f-b579c62ce79f · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 43

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Source-reported events for the cited work

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Observation 8adb38d0-4237-4e12-b5bd-e0eb6b3fe445 · outbound

This paper cites Mlp-net: Multilayer perceptron fusion network for infrared small target detection,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Mlp-net: Multilayer perceptron fusion network for infrared small target detection,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:53.213820Z

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Observation 65a60f14-dd82-401e-a048-46d7db18602a · outbound

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

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Lora: Low-rank adaptation of large language models,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:52.987257Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d53a406b-4189-488a-99ed-9272ada4c374 · outbound

This paper cites Imagereward: learning and evaluating human preferences for text-to-image generation,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Imagereward: learning and evaluating human preferences for text-to-image generation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:52.781780Z

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Observation c95245d3-7d6c-402a-aa39-aec719e0a493 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:52.561473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4f49277c-9c6d-4030-a140-a3ee6b1f4dde · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Pick-a-pic: An open dataset of user preferences for text-to-image generation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:52.397957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 11517637-b9b8-4fb5-a164-d3be77ecd053 · outbound

This paper cites Building cnn-based models for image aesthetic score prediction using an ensemble,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Building cnn-based models for image aesthetic score prediction using an ensemble,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:52.174546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8b2128c-3ff8-4a5c-b537-99a95b3bab61 · outbound

This paper cites Llava-next: A strong zero-shot video understanding model,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Llava-next: A strong zero-shot video understanding model,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:51.951951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 92317989-0820-4ead-b432-384fdfa782e0 · outbound

This paper cites Internvideo: General video foundation models via generative and discriminative learning,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Internvideo: General video foundation models via generative and discriminative learning,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:51.692478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b97954b8-5d3e-4053-a390-0a9036c01158 · outbound

This paper cites VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:47.793673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16b6cae0-883d-4759-b36e-d73e8eec2a68 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:51.511413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dbc1d83f-1c7a-43b1-995f-c66bac60f979 · outbound

This paper cites mplug-owl3: Towards long image-sequence understanding in multi-modal large language models,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs mplug-owl3: Towards long image-sequence understanding in multi-modal large language models,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:51.344286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation caaec614-1d36-46d3-b353-25615a657f3e · outbound

This paper cites No-reference image quality assessment in the spatial domain,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs No-reference image quality assessment in the spatial domain,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:47.959442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e78e9d04-ab79-454a-9fff-8fdf3e641069 · outbound

This paper cites Blind image quality estimation via distortion aggravation,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Blind image quality estimation via distortion aggravation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:51.198918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 79cbeca4-a14e-441e-be03-e04a34a93f5b · outbound

This paper cites Blind quality assessment based on pseudo- reference image,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Blind quality assessment based on pseudo- reference image,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:51.004024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 403b8b0a-6ae7-426a-a442-ceabac5f51bc · outbound

This paper cites Visual instruction tuning,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Visual instruction tuning,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:48.138760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f8005a3-abc0-497d-a663-8d9b958afd0b · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:48.190049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f883cf17-f2ed-408c-9b71-becbad8dd081 · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Llava-next: Improved reasoning, ocr, and world knowledge,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:48.245414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9df28ab-111c-4a68-821e-a7aaf4172c19 · outbound

This paper cites Improved baselines with visual instruction tuning,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Improved baselines with visual instruction tuning,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:48.349429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 865709a4-8de1-4b48-be07-011908404bcd · outbound

This paper cites Llava-next: Stronger llms supercharge multimodal capabilities in the wild,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Llava-next: Stronger llms supercharge multimodal capabilities in the wild,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:50.758104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8b7fa63b-bfa7-40b9-993b-d750b86428ca · outbound

This paper cites Llava-next: What else influences visual instruction tuning beyond data?,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Llava-next: What else influences visual instruction tuning beyond data?,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:50.534207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 18370840-77bd-42b7-9442-253997febc9a · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:48.537796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a484005-937b-47b3-912e-9e815524a744 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:48.595108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e219ea3-4a27-42f1-9288-8bbe7e7f46c3 · outbound

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

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Learning transferable visual models from natural language supervision,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:50.332408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dba5ab64-a687-4600-bbb6-142a5c5a19b2 · outbound

This paper cites Unmasked teacher: Towards training- efficient video foundation models,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Unmasked teacher: Towards training- efficient video foundation models,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:50.106302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e7a514f-68bf-41ce-aea6-7b24568ecc26 · outbound

This paper cites Stablevqa: A deep no-reference quality assessment model for video stability,.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Stablevqa: A deep no-reference quality assessment model for video stability,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:49.870172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8d41227-00e3-4ca1-8fdf-781525ee55a7 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:48.881635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b589e717-2e61-441e-bf33-a1400fd02fa0 · outbound

This paper cites Excellent.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Excellent

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:49.655959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d17d73d-ae3a-467f-bceb-a0c55182ad0f · outbound

This paper cites Excellent.

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs Excellent

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:49.409764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Reference resolution

Outbound references

Pith citing papers