Geowizard: Unleashing the diffusion priors for 3d geometry estimation from a single image
We introduce GeoWizard, a new generative foundation model designed for estimating
geometric attributes, eg, depth and normals, from single images. While significant research …
geometric attributes, eg, depth and normals, from single images. While significant research …
Direct2. 5: Diverse text-to-3d generation via multi-view 2.5 d diffusion
Recent advances in generative AI have unveiled significant potential for the creation of 3D
content. However current methods either apply a pre-trained 2D diffusion model with the …
content. However current methods either apply a pre-trained 2D diffusion model with the …
Controllable generation with text-to-image diffusion models: A survey
In the rapidly advancing realm of visual generation, diffusion models have revolutionized the
landscape, marking a significant shift in capabilities with their impressive text-guided …
landscape, marking a significant shift in capabilities with their impressive text-guided …
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting
Generalist segmentation models are increasingly favored for diverse tasks involving various
objects from different image sources. Task-Incremental Learning (TIL) offers a privacy …
objects from different image sources. Task-Incremental Learning (TIL) offers a privacy …
Exploring Representation-Aligned Latent Space for Better Generation
W Xu, X Yue, Z Wang, Y Teng, W Zhang, X Liu… - arxiv preprint arxiv …, 2025 - arxiv.org
Generative models serve as powerful tools for modeling the real world, with mainstream
diffusion models, particularly those based on the latent diffusion model paradigm, achieving …
diffusion models, particularly those based on the latent diffusion model paradigm, achieving …
Joint Learning of Depth and Appearance for Portrait Image Animation
2D portrait animation has experienced significant advancements in recent years. Much
research has utilized the prior knowledge embedded in large generative diffusion models to …
research has utilized the prior knowledge embedded in large generative diffusion models to …
DAKD: Data Augmentation and Knowledge Distillation using Diffusion Models for SAR Oil Spill Segmentation
Oil spills in the ocean pose severe environmental risks, making early detection essential.
Synthetic aperture radar (SAR) based oil spill segmentation offers robust monitoring under …
Synthetic aperture radar (SAR) based oil spill segmentation offers robust monitoring under …
ZERO-1-TO-G: TAMING PRETRAINED 2D DIFFUSION MODEL FOR DIRECT 3D GENERATION
GG Splats - openreview.net
Recent advances in 2D image generation have achieved remarkable quality, largely driven
by the capacity of diffusion models and the availability of large-scale datasets. However …
by the capacity of diffusion models and the availability of large-scale datasets. However …