DynEval: Holistic Evaluations of T2I Generative Models in the Wild | Paper Citation Record

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This paper cites In: European conference on computer vision.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: European conference on computer vision

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This paper cites Kandinsky 3.0 Technical Report.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Kandinsky 3.0 Technical Report

Reference 2

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This paper cites Qwen3-VL Technical Report.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Qwen3-VL Technical Report

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This paper cites Demystifying MMD GANs.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Demystifying MMD GANs

Reference 5

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This paper cites Advances in neural information processing systems33, 1877–1901 (2020).

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Advances in neural information processing systems33, 1877–1901 (2020)

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This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 7

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This paper cites HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer

Reference 8

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This paper cites HunyuanImage 3.0 Technical Report.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild HunyuanImage 3.0 Technical Report

Reference 9

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This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 10

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This paper cites In: European Conference on Computer Vision.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: European Conference on Computer Vision

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 12

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This paper cites In: International conference on learning representations.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: International conference on learning representations

Reference 13

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This paper cites arXiv preprint arXiv:2509.24695 (2025).

DynEval: Holistic Evaluations of T2I Generative Models in the Wild arXiv preprint arXiv:2509.24695 (2025)

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This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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This paper cites In: International conference on learning representations.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: International conference on learning representations

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This paper cites In: Proceedings of the IEEE/CVF in- ternational conference on computer vision.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE/CVF in- ternational conference on computer vision

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This paper cites Emerging Properties in Unified Multimodal Pretraining.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Emerging Properties in Unified Multimodal Pretraining

Reference 19

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This paper cites In: Proceedings of the 41st International Conference on Machine Learning.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the 41st International Conference on Machine Learning

Reference 20

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This paper cites Neural Networks144, 187–209 (2021).

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Neural Networks144, 187–209 (2021)

Reference 21

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This paper cites Gemini: A Family of Highly Capable Multimodal Models.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Gemini: A Family of Highly Capable Multimodal Models

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This paper cites X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again

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This paper cites Advances in Neural Information Processing Systems36, 52132–52152 (2023).

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Advances in Neural Information Processing Systems36, 52132–52152 (2023)

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 25

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This paper cites Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

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This paper cites arXiv preprint arXiv:2511.06876 (2025).

DynEval: Holistic Evaluations of T2I Generative Models in the Wild arXiv preprint arXiv:2511.06876 (2025)

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This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the AAAI Conference on Artificial Intelligence

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the 2021 conference on empirical methods in natural language processing

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Advances in neural information processing systems30(2017)

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This paper cites IEEE transactions on pattern analysis and machine intelligence 44(3), 1552–1565 (2020).

DynEval: Holistic Evaluations of T2I Generative Models in the Wild IEEE transactions on pattern analysis and machine intelligence 44(3), 1552–1565 (2020)

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE conference on computer vision and pattern recognition

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE/CVF International Conference on Computer Vision

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild IEEE Transactions on Pattern Analysis and Machine Intelligence47(5), 3563–3579 (2025)

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In-Context LoRA for Diffusion Transformers

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild arXiv preprint arXiv:2512.16853 (2025)

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Advances in neural information processing systems36, 36652–36663 (2023)

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Advances in Neural Information Processing Systems36, 69981– 70011 (2023)

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the 2022 conference on empirical methods in natural language processing

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: International conference on machine learning

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: International confer- ence on machine learning

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: European Conference on Computer Vision

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild com / index / new - chatgpt - images-is-here/

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1) (2021)

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: International Conference on Learning Representations

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: International conference on machine learning

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Observation 55132a55-fd7e-42c4-9227-47f31f6b702a · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: International Conference on Medical image computing and computer-assisted intervention

Reference 61

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Advances in neural information processing systems29(2016)

Reference 62

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild arXiv preprint arXiv:2509.26641 (2025)

Reference 63

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 64

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 65

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Unresolved cited work

Reference 66

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild arXiv preprint (2024)

Reference 67

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild LongCat-Image Technical Report

Reference 68

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Reference 69

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Reference 70

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Reference 71

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks

Reference 72

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation

Reference 73

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 74

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Observation 5fcd881f-7885-4c59-881c-1567aaa00970 · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Emu3: Next-Token Prediction is All You Need

Reference 75

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild arXiv preprint arXiv:2510.18701 (2025)

Reference 76

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: Long papers)

Reference 77

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Observation bd85c706-22c2-4052-b818-13843b71db60 · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild TIIF-Bench: How Does Your T2I Model Follow Your Instructions?

Reference 78

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Observation 04428dd4-c0bf-434c-8245-0fb0bc6196e6 · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Qwen-Image Technical Report

Reference 79

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Observation 716c414e-75cf-4b41-a9b5-fa67685fe1eb · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 80

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Observation 93dffed1-cfc1-43eb-ae69-d4b1d82f7671 · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 81

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Observation 4f6c2201-3fd3-47fe-88d6-8049d2c518da · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 82

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Observation 3f72fb13-3e0f-4392-a23c-2bdb49077adc · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 83

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Observation 7298e3ea-d5a3-44a2-8c64-4d51a87e81ad · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer

Reference 84

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Observation 7ff7402d-15f6-4e01-b856-5a14bbe127e6 · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: International Conference on Learning Representa- tions

Reference 85

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Observation 8dc2f40c-9442-4bad-a64b-7f7483e86b1c · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 86

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Advances in Neural Information Processing Systems36, 15903–15935 (2023)

Reference 87

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Observation 697e3a1f-98f1-4ed7-9a47-a58d1a462c7a · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 88

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Observation 7169a541-28dd-4740-b526-a0e643b69b84 · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild Unresolved cited work

Reference 89

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Observation d7080d04-1448-4818-b025-be4e9c5f16bc · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 90

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild BERTScore: Evaluating Text Generation with BERT

Reference 91

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Observation d5cc53df-8207-431d-b6ed-f399610eefe3 · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 92

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Observation 0febebd9-f6ff-4113-b4a4-7862b827a141 · outbound

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DynEval: Holistic Evaluations of T2I Generative Models in the Wild InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 93

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