Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:29:53.160770Z
Paper Citation Record · LEDGER
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models
As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2507.02714.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T22:55:02.514189Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T00:14:04.730058Z
Reference resolution
57 of 57 outbound references displayed
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External citation measurements
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Outbound references
Observation 63a8f5a7-2638-4db2-8ec5-f3b2ea9a990c · outbound
This paper cites Fair Resource Allocation in Multi-Task Learning.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Fair Resource Allocation in Multi-Task Learning
Reference 1
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Observation 2bce10df-321d-4bd8-8102-58307aefb595 · outbound
This paper cites Improving image generation with better captions.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Improving image generation with better captions
Reference 2
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This paper cites Adetailer.
Reference 3
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Observation 8120f3e8-2233-4693-80a4-7e37b939a98d · outbound
This paper cites Viton-hd: High-resolution virtual try-on via misalignment-aware normalization.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Viton-hd: High-resolution virtual try-on via misalignment-aware normalization
Reference 4
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Observation b4f54a3b-345d-4d47-85c8-871d827a262d · outbound
This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Scaling recti- fied flow transformers for high-resolution image synthesis
Reference 5
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Observation db074655-d52d-4c2f-b89a-f78813524eaf · outbound
This paper cites Stylegan-human: A data-centric odyssey of human genera- tion.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Stylegan-human: A data-centric odyssey of human genera- tion
Reference 6
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Observation 68434b83-41ec-4d7e-a6b3-1e615268d8a9 · outbound
This paper cites Mini-internvl: a flexible-transfer pocket multi-modal model with 5% parameters and 90% perfor- mance.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Mini-internvl: a flexible-transfer pocket multi-modal model with 5% parameters and 90% perfor- mance
Reference 7
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Observation 27afda73-cd19-4836-b2bf-ffed93de43e1 · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilib- rium
Reference 8
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Observation f60d0123-9893-4616-84fe-29e830cff03b · outbound
This paper cites Denoising dif- fusion probabilistic models.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Denoising dif- fusion probabilistic models
Reference 9
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Observation 3de79f89-2180-411e-a5da-1a8f314dcef7 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models LoRA: Low-Rank Adaptation of Large Language Models
Reference 10
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Observation af65d79d-135b-4621-b2a7-b99e1472b33a · outbound
This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Reference 11
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Observation 3a0906b4-a610-450c-8382-cd42ce929d86 · outbound
This paper cites an unresolved cited work.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Unresolved cited work
Reference 12
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Observation df2b8f4e-c3b7-4fc6-b75b-ff13b1e2cb80 · outbound
This paper cites Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991
Reference 13
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Observation d134dfde-be47-4337-ad24-27ebbaf64b3b · outbound
This paper cites Hu- man image generation: A comprehensive survey.ACM Com- puting Surveys, 56(11):1–39, 2024.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Hu- man image generation: A comprehensive survey.ACM Com- puting Surveys, 56(11):1–39, 2024
Reference 14
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Observation c72128f2-986b-4f14-9c2b-5d09c194cccf · outbound
This paper cites Human-art: A versatile human-centric dataset bridg- ing natural and artificial scenes.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Human-art: A versatile human-centric dataset bridg- ing natural and artificial scenes
Reference 15
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Observation 59aa9a0f-c9a3-497e-806c-8b949f0a5455 · outbound
This paper cites Humansd: A native skeleton-guided diffusion model for human image generation.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Humansd: A native skeleton-guided diffusion model for human image generation
Reference 16
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Observation 3ee82511-9d3a-4bc9-885f-87f3b7ba9ed4 · outbound
This paper cites Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics
Reference 17
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Observation 59f1cbfb-402b-452a-86a4-f7e71958fc12 · outbound
This paper cites Auto-Encoding Variational Bayes.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Auto-Encoding Variational Bayes
Reference 18
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Observation c2215ca0-2492-426d-a5f9-d0ba34fac23c · outbound
This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Reference 19
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Observation 10a9de8b-a27e-4f3f-adac-3e44847eb705 · outbound
This paper cites Con- trolnet++: Improving conditional controls with efficient consistency feedback: Project page: liming-ai.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Con- trolnet++: Improving conditional controls with efficient consistency feedback: Project page: liming-ai
Reference 20
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Observation 6f1bac8b-49ed-4069-834a-72a4a72a7960 · outbound
This paper cites Cosmicman: A text-to-image foun- dation model for humans.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Cosmicman: A text-to-image foun- dation model for humans
Reference 21
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Observation ffcb26d4-d58d-476f-840f-3c2605cd73f5 · outbound
This paper cites Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning
Reference 22
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This paper cites End- to-end multi-task learning with attention.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models End- to-end multi-task learning with attention
Reference 23
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Observation f16da45e-a24e-4a6d-be47-8b32f17ba37c · outbound
This paper cites HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
Reference 24
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This paper cites Handrefiner: Refining malformed hands in generated images by diffusion-based conditional inpainting.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Handrefiner: Refining malformed hands in generated images by diffusion-based conditional inpainting
Reference 25
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This paper cites MediaPipe: A Framework for Building Perception Pipelines.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models MediaPipe: A Framework for Building Perception Pipelines
Reference 26
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Bandwidth sharing: objectives and algorithms
Reference 27
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Fair end-to-end window- based congestion control
Reference 28
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This paper cites Whose hands are these? hand detec- tion and hand-body association in the wild.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Whose hands are these? hand detec- tion and hand-body association in the wild
Reference 29
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Han- diffuser: Text-to-image generation with realistic hand ap- pearances
Reference 30
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Multi-Task Learning as a Bargaining Game
Reference 31
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Pareto multi objective optimization
Reference 32
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Recon- structing hands in 3d with transformers
Reference 33
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models From Sparse to Soft Mixtures of Experts
Reference 35
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Learning transferable visual models from natural language supervi- sion
Reference 36
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 37
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models You only look once: Unified, real-time object de- tection
Reference 38
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models High-resolution image synthesis with latent diffusion models
Reference 39
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis
Reference 40
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Multi-task learning as multi-objective optimization
Reference 41
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Observation af23fcd6-4f7e-48c7-b372-fcec7d5dde18 · outbound
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Denoising Diffusion Implicit Models
Reference 42
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Mixture-of- hand-experts: Repainting the deformed hand images gener- ated by diffusion models
Reference 43
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This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Reference 44
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Imagere- ward: Learning and evaluating human preferences for text- to-image generation
Reference 45
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Source-reported events for the cited work
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Observation 377e0076-6b46-498c-9caf-9e66c12b5549 · outbound
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FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Effec- tive whole-body pose estimation with two-stages distillation
Reference 46
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This paper cites Gradient surgery for multi-task learning.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Gradient surgery for multi-task learning
Reference 47
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Observation 59758d5a-4e7d-4c07-8527-919f04998b8c · outbound
This paper cites Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Reference 48
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Observation 63399668-3ab5-4ad3-954e-8dbf56f06542 · outbound
This paper cites Stack- gan++: Realistic image synthesis with stacked generative ad- versarial networks.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Stack- gan++: Realistic image synthesis with stacked generative ad- versarial networks
Reference 49
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Observation aae4a726-d3c1-43eb-b91c-285c0605f6a9 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Adding conditional control to text-to-image diffusion models
Reference 50
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- raw_fallback, observed 2026-08-06T20:29:54.472725Z
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Observation 21ee0bd1-3885-4006-b6de-679e69d0c88a · outbound
This paper cites Scalable person re-identification: A benchmark.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Scalable person re-identification: A benchmark
Reference 51
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- raw_fallback, observed 2026-08-06T20:29:54.353138Z
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Observation 1af36e6e-faf7-42b0-aa41-437512adfc48 · outbound
This paper cites MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
Reference 52
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- local_arxiv, observed 2026-08-06T20:29:53.622608Z
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Observation f6c3a202-7839-4cb0-92c1-b3f5add50f41 · outbound
This paper cites an unresolved cited work.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Unresolved cited work
Reference 53
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Observation 5da0ece5-5236-4648-a856-e2ff9ec52559 · outbound
This paper cites an unresolved cited work.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Unresolved cited work
Reference 54
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Observation 8c0424c8-39ed-4d1f-bc06-c83f78d6d131 · outbound
This paper cites Regarding the gen- eration of local masks for the faces and hands, we first gen- erate mask images using the pre-annotated bounding box information from the dataset.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Regarding the gen- eration of local masks for the faces and hands, we first gen- erate mask images using the pre-annotated bounding box information from the dataset
Reference 55
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Observation 0d88a1aa-6ac1-4edc-97bc-7fc5ae5811ba · outbound
This paper cites More Quantitative Comparisons In addition to comparing the image quality generated by the models, we also conduct experiments on memory usage and inference speed.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models More Quantitative Comparisons In addition to comparing the image quality generated by the models, we also conduct experiments on memory usage and inference speed
Reference 56
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- raw_fallback, observed 2026-08-06T20:29:53.452785Z
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Observation 5805fd9f-4d94-4032-90ac-58b1a3ceb19b · outbound
This paper cites In addition to the baseline methods mentioned in our paper, we also com- pare two close-source methods for human image generation called HanDiffuser[30] and HyperHuman[24].
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models In addition to the baseline methods mentioned in our paper, we also com- pare two close-source methods for human image generation called HanDiffuser[30] and HyperHuman[24]
Reference 57
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- verified fuzzy
- raw_fallback, observed 2026-08-06T20:29:53.878472Z
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Pith citing papers
Observation 97df9738-de81-4dc3-af7c-9d8a31537b9e · inbound
Towards Anatomically Plausible Human Image Generation via Synthetic Localized Preferences cites this paper.
Towards Anatomically Plausible Human Image Generation via Synthetic Localized Preferences FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models
Reference 39
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- arxiv_id, observed 2026-06-30T00:14:04.731411Z
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