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New method generates relightable avatars with diffusion models

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Generative Relightable Avatars (GRA), a novel method for creating photorealistic, free-view renderings of full-body humans that can be relit under different environment maps. GRA employs a hybrid approach, first optimizing material parameters in UV-space to render a coarse appearance under a target HDR environment map. This is then refined by a feed-forward model to capture pose-dependent dynamics and illumination effects. Finally, a fine-tuned video-to-video diffusion model transforms these renderings into detailed, temporally coherent videos, with an error-recycling strategy for generating longer sequences. AI

IMPACT This research advances generative models for 3D avatar creation, potentially impacting virtual reality and content generation.

RANK_REASON The cluster describes a new research paper detailing a novel method for generating relightable avatars. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New method generates relightable avatars with diffusion models

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The cluster describes a new research paper detailing a novel method for generating relightable avatars. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Generative Relightable Avatars

    We present Generative Relightable Avatars (GRA), a person-specific method for photorealistic free-view rendering and environment-map relighting of full-body humans. We postulate that modeling fine-grained appearance details is inherently a one-to-many problem that can benefit fro…

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