Sdfusion: Multimodal 3d shape completion, reconstruction, and generation
In this work, we present a novel framework built to simplify 3D asset generation for amateur
users. To enable interactive generation, our method supports a variety of input modalities …
users. To enable interactive generation, our method supports a variety of input modalities …
Locally attentional sdf diffusion for controllable 3d shape generation
Although the recent rapid evolution of 3D generative neural networks greatly improves 3D
shape generation, it is still not convenient for ordinary users to create 3D shapes and control …
shape generation, it is still not convenient for ordinary users to create 3D shapes and control …
Text2tex: Text-driven texture synthesis via diffusion models
Abstract We present Text2Tex, a novel method for generating high-quality textures for 3D
meshes from the given text prompts. Our method incorporates inpainting into a pre-trained …
meshes from the given text prompts. Our method incorporates inpainting into a pre-trained …
Scenetex: High-quality texture synthesis for indoor scenes via diffusion priors
We propose SceneTex a novel method for effectively generating high-quality and style-
consistent textures for indoor scenes using depth-to-image diffusion priors. Unlike previous …
consistent textures for indoor scenes using depth-to-image diffusion priors. Unlike previous …
Sketch and text guided diffusion model for colored point cloud generation
Diffusion probabilistic models have achieved remarkable success in text guided image
generation. However, generating 3D shapes is still challenging due to the lack of sufficient …
generation. However, generating 3D shapes is still challenging due to the lack of sufficient …
Sketch2Saliency: learning to detect salient objects from human drawings
Human sketch has already proved its worth in various visual understanding tasks (eg,
retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of …
retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of …
Deep learning for free-hand sketch: A survey
Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
Deep learning methods of cross-modal tasks for conceptual design of product shapes: A review
Conceptual design is the foundational stage of a design process that translates ill-defined
design problems into low-fidelity design concepts and prototypes through design search …
design problems into low-fidelity design concepts and prototypes through design search …
Doodle it yourself: Class incremental learning by drawing a few sketches
The human visual system is remarkable in learning new visual concepts from just a few
examples. This is precisely the goal behind few-shot class incremental learning (FSCIL) …
examples. This is precisely the goal behind few-shot class incremental learning (FSCIL) …
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
Sketching is a powerful tool for creating abstract images that are sparse but meaningful.
Sketch understanding poses fundamental challenges for general-purpose vision algorithms …
Sketch understanding poses fundamental challenges for general-purpose vision algorithms …