HetScene proposes a two-stage heterogeneous diffusion framework that decomposes scenes into primary structural objects and secondary contextual objects to generate denser, more plausible indoor layouts.
Make It Home: Automatic Optimization of Furniture Arrangement
3 Pith papers cite this work. Polarity classification is still indexing.
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DiffHDR converts LDR videos to HDR by formulating the task as generative radiance inpainting in a video diffusion model's latent space, using Log-Gamma encoding and synthesized training data to achieve better fidelity and stability than prior methods.
AnisoLift augments coarse particles with anisotropic ellipsoids and predicts residual state corrections to improve fidelity to high-resolution liquid flows.
citing papers explorer
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HetScene: Heterogeneity-Aware Diffusion for Dense Indoor Scene Generation
HetScene proposes a two-stage heterogeneous diffusion framework that decomposes scenes into primary structural objects and secondary contextual objects to generate denser, more plausible indoor layouts.
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DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models
DiffHDR converts LDR videos to HDR by formulating the task as generative radiance inpainting in a video diffusion model's latent space, using Log-Gamma encoding and synthesized training data to achieve better fidelity and stability than prior methods.
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AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement
AnisoLift augments coarse particles with anisotropic ellipsoids and predicts residual state corrections to improve fidelity to high-resolution liquid flows.