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Found 3 papers, 1 papers with code
Enhancing Texture Generation with High-Fidelity Using Advanced Texture Priors
Moreover, background noise frequently arises in high-resolution texture synthesis, limiting the practical application of these generation technologies. In this work, we propose a high-resolution and high-fidelity texture restoration technique that uses the rough texture as the initial input to enhance the consistency between the synthetic texture and the initial texture, thereby overcoming the issues of aliasing and blurring caused by the user's structure simplification operations.
MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture
In the second stage, we concentrate on fine-tuning the geometry and optimizing the texture, thereby achieving a more refined 3D object.
LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering
The lack of diverse and accurate pose and shape training data becomes a major bottleneck, especially for scenes with occlusions in the wild.
Ranked #2 on
3D Human Shape Estimation
on SSP-3D
