NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results | Paper Citation Record

Observation dcb5671d-fe1a-4fb9-813a-f657779a6fe6 · outbound

This paper cites Inhttps://runwayml.com/research/introducing-gen-3- alpha, 2024.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Inhttps://runwayml.com/research/introducing-gen-3- alpha, 2024

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This paper cites Audio-visual face reen- actment.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Audio-visual face reen- actment

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This paper cites Dream machine: Ai video generator.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Dream machine: Ai video generator

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This paper cites Pixverse: Ai video creation platform.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Pixverse: Ai video creation platform

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Unresolved cited work

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Observation 1de799a0-4604-4e43-bb5f-e6791f4cddbe · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

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Observation c65328e5-340e-40cc-abba-4afc4e9eb22f · outbound

This paper cites Finding Directions in GAN's Latent Space for Neural Face Reenactment.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Finding Directions in GAN's Latent Space for Neural Face Reenactment

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This paper cites Stylemask: Disentangling the style space of stylegan2 for neural face reenactment.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Stylemask: Disentangling the style space of stylegan2 for neural face reenactment

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This paper cites Dreamina.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Dreamina

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Observation 45d87113-6c3a-4d11-a8b9-7daf84b86ad9 · outbound

This paper cites Internlm2 technical report, 2024.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Internlm2 technical report, 2024

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This paper cites A no-reference quality assessment metric for dynamic 3d digital human.Displays, 80:102540, 2023.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results A no-reference quality assessment metric for dynamic 3d digital human.Displays, 80:102540, 2023

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Observation 03ae8ad6-9910-4787-9c03-629f1792163f · outbound

This paper cites NTIRE 2025 challenge on image super-resolution (×4): Methods and results.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on image super-resolution (×4): Methods and results

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Observation 7cb10b53-f9e6-4a09-ab08-9668f38e32ce · outbound

This paper cites NTIRE 2025 challenge on real-world face restoration: Methods and results.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on real-world face restoration: Methods and results

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Observation 5564708a-d6ba-4118-8427-d1ca02049d9f · outbound

This paper cites Videoretalking: Audio-based lip synchro- nization for talking head video editing in the wild.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Videoretalking: Audio-based lip synchro- nization for talking head video editing in the wild

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Observation d91d9950-8331-4621-88b2-bd3d8d393b26 · outbound

This paper cites Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Measuring the Quality of Text-to-Video Model Outputs: Metrics and Dataset

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Observation 3d5e3c79-f063-4643-9696-83bc2b1accd1 · outbound

This paper cites NTIRE 2025 challenge on raw image restoration and super-resolution.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on raw image restoration and super-resolution

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Observation bcddd028-fc13-47aa-bc33-728a68e0503a · outbound

This paper cites Raw image reconstruc- tion from RGB on smartphones.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Raw image reconstruc- tion from RGB on smartphones

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Unresolved cited work

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Observation cfc1993c-25e5-4390-b1d1-767ff369954b · outbound

This paper cites Light-vqa: A multi- dimensional quality assessment model for low-light video enhancement.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Light-vqa: A multi- dimensional quality assessment model for low-light video enhancement

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Observation 5a692a2b-07bf-4129-bcb0-484efb178ec5 · outbound

This paper cites Light-vqa: A multi- dimensional quality assessment model for low-light video enhancement.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Light-vqa: A multi- dimensional quality assessment model for low-light video enhancement

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Observation b8e1b812-7e53-42c9-9fe9-4144b94e7f03 · outbound

This paper cites Headgan: One-shot neural head synthesis and editing.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Headgan: One-shot neural head synthesis and editing

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Observation 05d12e5b-64d6-466d-a3a6-0c82e051b028 · outbound

This paper cites FineVQ: Fine-Grained User Generated Content Video Quality Assessment.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results FineVQ: Fine-Grained User Generated Content Video Quality Assessment

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on night photography rendering

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This paper cites Slowfast networks for video recognition.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Slowfast networks for video recognition

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on cross-domain few-shot object detection: Methods and results

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Observation 5b6d4fca-95b1-4da8-8a71-d44364b37e78 · outbound

This paper cites VDPVE: VQA Dataset for Perceptual Video Enhancement.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results VDPVE: VQA Dataset for Perceptual Video Enhancement

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Observation db94deb5-80c1-46a1-9ba1-1c778565c624 · outbound

This paper cites High-fidelity and freely controllable talking head video generation.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results High-fidelity and freely controllable talking head video generation

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This paper cites Gen-2: Generate novel videos with text, images or video clips.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Gen-2: Generate novel videos with text, images or video clips

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Unresolved cited work

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results An efficient ophthalmic dis- ease qa system integrated with knowledge graphs and digi- tal humans

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Observation 126bcad2-83a6-4901-b70e-01eaac8ebb8f · outbound

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Marionette: Few-shot face reenact- ment preserving identity of unseen targets

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Full-reference and no- reference quality assessment for video frame interpolation

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on text to image generation model qual- ity assessment

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Depth-aware generative adversarial network for talking head video generation

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results The konstanz natural video database (konvid-1k)

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Varfvv: View- adaptive real-time interactive free-view video streaming with edge computing.IEEE Journal on Selected Areas in Communications, pages 1–1, 2025

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results VBench: Comprehensive benchmark suite for video generative mod- els

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on video quality enhancement for video conferencing: Datasets, methods and results

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Image Quality Assessment: From Human to Machine Preference

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Stablevqa: A deep no-reference quality assessment model for video stability

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

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Stablevqa: A deep no- reference quality assessment model for video stability

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Pika: Ai video generation platform

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on efficient burst hdr and restoration: Datasets, methods, and results

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Aigiqa-20k: A large database for ai-generated image quality assessment

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on day and night raindrop removal for dual-focused images: Methods and results

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Kwaisr dataset and study

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on short-form ugc video qual- ity assessment and enhancement: Methods and results

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Ugc-video: Perceptual quality as- sessment of user-generated videos

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 the 2nd restore any image model (RAIM) in the wild challenge

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 XGC quality assessment challenge: Methods and results

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Ntire 2023 quality assessment of video enhancement challenge

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Observation 64f47b42-4382-4b82-ae28-280a3693407c · outbound

This paper cites NTIRE 2025 challenge on low light image enhancement: Methods and results.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on low light image enhancement: Methods and results

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

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This paper cites Fetv: A bench- mark for fine-grained evaluation of open-domain text-to- video generation.Advances in Neural Information Process- ing Systems, 36, 2024.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Fetv: A bench- mark for fine-grained evaluation of open-domain text-to- video generation.Advances in Neural Information Process- ing Systems, 36, 2024

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Observation 9776effe-2b25-481a-8f00-9546ad9f7cbd · outbound

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Swin transformer: Hierarchical vision transformer using shifted windows

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Observation 309321d8-7764-4070-aaa1-6006da3e201c · outbound

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NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Kvq: Kwai video quality assessment for short-form videos

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Observation 2196756a-cbfd-46db-ad89-2fe8206a6131 · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Latte: Latent Diffusion Transformer for Video Generation

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Observation eb2b6f1b-38bf-4588-8e9e-3f1e80c56545 · outbound

This paper cites DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models

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Observation 8f8077b4-bc6a-4fbd-85cb-6537514fa592 · outbound

This paper cites Video quality assessment on mobile devices: Subjective, behavioral and objective studies.IEEE Journal of Selected Topics in Signal Pro- cessing, 6(6):652–671, 2012.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Video quality assessment on mobile devices: Subjective, behavioral and objective studies.IEEE Journal of Selected Topics in Signal Pro- cessing, 6(6):652–671, 2012

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:53.166561Z

Source-reported events for the cited work

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

Observation 0cab13e9-b17e-40d9-9eb6-ba24369988a7 · outbound

This paper cites Human lips synchronisation in au- todesk maya.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Human lips synchronisation in au- todesk maya

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:53.143644Z

Source-reported events for the cited work

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

Observation fb072247-2116-4580-a615-dd52fa179d9e · outbound

This paper cites A lip sync expert is all you need for speech to lip generation in the wild.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results A lip sync expert is all you need for speech to lip generation in the wild

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:53.124016Z

Source-reported events for the cited work

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

Observation 263ef620-ffb7-4ab0-b9aa-b78a29bbe6f8 · outbound

This paper cites The tenth NTIRE 2025 efficient super-resolution challenge report.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results The tenth NTIRE 2025 efficient super-resolution challenge report

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:53.098601Z

Source-reported events for the cited work

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

Observation a174f909-de2a-442b-969f-4dc0b300c1f4 · outbound

This paper cites Pirenderer: Controllable portrait image generation via semantic neural rendering.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Pirenderer: Controllable portrait image generation via semantic neural rendering

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:53.080004Z

Source-reported events for the cited work

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

Observation 800636c7-9d36-47e6-a2d0-3471c491855c · outbound

This paper cites NTIRE 2025 challenge on UGC video enhancement: Meth- ods and results.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on UGC video enhancement: Meth- ods and results

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:53.058454Z

Source-reported events for the cited work

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

Observation 8aa085be-c7df-468b-a580-3aeb186799bf · outbound

This paper cites NTIRE 2025 challenge on event-based image deblurring: Methods and results.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on event-based image deblurring: Methods and results

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:49.964057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b42523f4-5481-47b5-a067-4e3b43cfea7c · outbound

This paper cites The tenth ntire 2025 image denoising challenge report.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results The tenth ntire 2025 image denoising challenge report

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:50.075107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50cd830c-5c2e-453f-abc7-d4c173e211f5 · outbound

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

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results A deep learning based no-reference quality assessment model for ugc videos

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.993791Z

Source-reported events for the cited work

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

Observation 3062fb33-414e-42d1-8e03-9c418eec663d · outbound

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

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results A deep learning based no-reference quality assessment model for ugc videos

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.971825Z

Source-reported events for the cited work

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

Observation 22c2ac08-e4fd-4c4c-befa-673605170266 · outbound

This paper cites Kling ai.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Kling ai

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.954324Z

Source-reported events for the cited work

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

Observation 83bc7ac5-f987-49a7-9339-90ab1bbdcd71 · outbound

This paper cites Facegan: Facial attribute controllable reenactment gan.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Facegan: Facial attribute controllable reenactment gan

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.935043Z

Source-reported events for the cited work

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

Observation 65d122de-47a8-4997-876f-775634395149 · outbound

This paper cites NTIRE 2025 image shadow removal challenge report.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 image shadow removal challenge report

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.917145Z

Source-reported events for the cited work

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

Observation 0f345d8a-8010-41ef-9b70-08925b5eb54d · outbound

This paper cites NTIRE 2025 ambi- ent lighting normalization challenge.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 ambi- ent lighting normalization challenge

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:50.773359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 674f2c20-0717-41bb-a50a-77095b443969 · outbound

This paper cites MCL-JCV: a jnd-based h.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results MCL-JCV: a jnd-based h

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.888386Z

Source-reported events for the cited work

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

Observation e7e4f16e-fdb4-4f40-ad84-e2d8f37b8859 · outbound

This paper cites Eca-net: Efficient channel attention for deep convolutional neural networks.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Eca-net: Efficient channel attention for deep convolutional neural networks

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.869564Z

Source-reported events for the cited work

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

Observation 34a1a0ee-24ce-4614-b991-a4bf6c4eb28b · outbound

This paper cites Safa: Structure aware face animation.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Safa: Structure aware face animation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.852524Z

Source-reported events for the cited work

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

Observation 49565245-a006-4168-b27b-68b18c85b1c1 · outbound

This paper cites Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:51.176183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c80a0b3-a3f2-4231-a348-7a9781bf4d6a · outbound

This paper cites HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:51.180989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 407d2859-2931-44e0-b0ca-9c7b4a3a88dd · outbound

This paper cites Rich features for perceptual quality assessment of ugc videos.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Rich features for perceptual quality assessment of ugc videos

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.832674Z

Source-reported events for the cited work

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

Observation 4328b1bb-b749-4339-a005-b80c16be1679 · outbound

This paper cites NTIRE 2025 challenge on light field image super-resolution: Methods and results.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on light field image super-resolution: Methods and results

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:51.191780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d3a426d-3778-4206-ad1a-a59f057ae012 · outbound

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

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Image quality assessment: from error visibility to structural similarity.IEEE transactions on image pro- cessing, 13(4):600–612, 2004

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.802616Z

Source-reported events for the cited work

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

Observation 63caac02-78d1-49e8-b8e2-50b3c85ad2c7 · outbound

This paper cites X2face: A network for controlling face generation using images, au- dio, and pose codes.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results X2face: A network for controlling face generation using images, au- dio, and pose codes

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.781492Z

Source-reported events for the cited work

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

Observation 6b2d6e3e-4b63-4d20-ac3a-86449abc061b · outbound

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

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.761886Z

Source-reported events for the cited work

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

Observation 9fb84909-0ad7-4197-bd1a-3e1f89f4d101 · outbound

This paper cites Fast- vqa: Efficient end-to-end video quality assessment with fragment sampling, 2022.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Fast- vqa: Efficient end-to-end video quality assessment with fragment sampling, 2022

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.746436Z

Source-reported events for the cited work

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

Observation 20250729-7e0a-49d8-854d-2d4307ba9d5f · outbound

This paper cites Towards explainable in-the-wild video quality assess- ment: a database and a language-prompted approach.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Towards explainable in-the-wild video quality assess- ment: a database and a language-prompted approach

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.730254Z

Source-reported events for the cited work

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

Observation 183190a5-897a-4822-a383-c6a45f3f5cc4 · outbound

This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical per- spectives.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Exploring video quality assessment on user generated contents from aesthetic and technical per- spectives

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.709815Z

Source-reported events for the cited work

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

Observation a35117dd-5ff4-4a8f-964b-d859fa2351ab · outbound

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

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:51.233862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48834cd8-e392-4150-ba5f-bf5a6aa21973 · outbound

This paper cites Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:51.239693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fcaf6c9-a1c9-45ce-bb65-e763ae02a286 · outbound

This paper cites Reenactgan: Learning to reenact faces via boundary transfer.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Reenactgan: Learning to reenact faces via boundary transfer

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.692368Z

Source-reported events for the cited work

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

Observation 6be19bbe-a496-4c50-a0b5-61fb8d7cabcf · outbound

This paper cites NTIRE 2025 challenge on single image reflection removal in the wild: Datasets, methods and results.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on single image reflection removal in the wild: Datasets, methods and results

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:51.250639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e6fa1f2-1b3f-4ed5-b715-aa218e2e1f4e · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:51.256066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b82164e0-3790-441f-9c6e-5c29fb317ff7 · outbound

This paper cites Mesh guided one-shot face reenactment using graph convo- lutional networks.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Mesh guided one-shot face reenactment using graph convo- lutional networks

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.663063Z

Source-reported events for the cited work

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

Observation ce5ad65a-6b71-4daa-9ee7-c925e8ff28ab · outbound

This paper cites Using brain- computer interface technology for modeling 3d objects in blender software.Journal of Automation Mobile Robotics and Intelligent Systems, 14, 2020.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Using brain- computer interface technology for modeling 3d objects in blender software.Journal of Automation Mobile Robotics and Intelligent Systems, 14, 2020

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.638793Z

Source-reported events for the cited work

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

Observation b10dde72-ae0e-4c20-a876-742d97635742 · outbound

This paper cites Few-shot adversarial learning of real- istic neural talking head models.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Few-shot adversarial learning of real- istic neural talking head models

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.621472Z

Source-reported events for the cited work

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

Observation e14add2c-00af-49a9-bf1c-4494e4477e89 · outbound

This paper cites NTIRE 2025 challenge on hr depth from images of specular and transparent surfaces.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results NTIRE 2025 challenge on hr depth from images of specular and transparent surfaces

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.602627Z

Source-reported events for the cited work

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

Observation 3ba637a9-e8de-4ff7-a230-a52d421cc714 · outbound

This paper cites Sadtalker: Learning realistic 3d mo- tion coefficients for stylized audio-driven single image talk- ing face animation.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Sadtalker: Learning realistic 3d mo- tion coefficients for stylized audio-driven single image talk- ing face animation

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.583982Z

Source-reported events for the cited work

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

Observation 229bdd93-d92c-4613-902f-61fbf09739cf · outbound

This paper cites Blind image quality assessment via vision- language correspondence: A multitask learning perspec- tive.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Blind image quality assessment via vision- language correspondence: A multitask learning perspec- tive

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.559635Z

Source-reported events for the cited work

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

Observation 60046f9b-dae5-4dff-ba9d-0a4740b63581 · outbound

This paper cites Paps-ovqa: Projection-aware patch sampling for omnidirectional video quality assessment.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Paps-ovqa: Projection-aware patch sampling for omnidirectional video quality assessment

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:20:52.542550Z

Source-reported events for the cited work

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

Observation 5e716588-aa6f-4ed7-a9d8-93741e164754 · outbound

This paper cites DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:51.297719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0328bfd-49fc-4e9d-8ab2-77d3ef7573dd · outbound

This paper cites Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:20:51.726737Z

Source-reported events for the cited work

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

Observation d79ab666-66af-46f7-b86d-af564796c992 · outbound

This paper cites Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:51.308289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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