Collections
Discover the best community collections!
Collections including paper arxiv:2506.17201
-
TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion
Paper • 2401.09416 • Published • 11 -
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
Paper • 2401.10171 • Published • 14 -
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model
Paper • 2311.09217 • Published • 22 -
GALA: Generating Animatable Layered Assets from a Single Scan
Paper • 2401.12979 • Published • 9
-
Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Paper • 2410.10306 • Published • 56 -
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
Paper • 2411.05003 • Published • 71 -
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Paper • 2411.04709 • Published • 26 -
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Paper • 2410.07171 • Published • 43
-
Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Paper • 2410.10306 • Published • 56 -
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
Paper • 2411.05003 • Published • 71 -
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Paper • 2411.04709 • Published • 26 -
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Paper • 2410.07171 • Published • 43
-
TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion
Paper • 2401.09416 • Published • 11 -
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
Paper • 2401.10171 • Published • 14 -
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model
Paper • 2311.09217 • Published • 22 -
GALA: Generating Animatable Layered Assets from a Single Scan
Paper • 2401.12979 • Published • 9