Results 11 to 20 of about 22,229,619 (357)
InCoder: A Generative Model for Code Infilling and Synthesis [PDF]
International Conference on Learning Representations, 2022 Code is seldom written in a single left-to-right pass and is instead repeatedly edited and refined. We introduce InCoder, a unified generative model that can perform program synthesis (via left-to-right generation) as well as editing (via infilling ...
Daniel Fried +9 more
semanticscholar +1 more source
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images [PDF]
Neural Information Processing Systems, 2022 As several industries are moving towards modeling massive 3D virtual worlds, the need for content creation tools that can scale in terms of the quantity, quality, and diversity of 3D content is becoming evident. In our work, we aim to train performant 3D
Jun Gao +8 more
semanticscholar +1 more source
RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion [PDF]
Computer Vision and Pattern Recognition, 2022 This paper presents a 3D diffusion model that automatically generates 3D digital avatars represented as neural radiance fields (NeRFs). A significant challenge for 3D diffusion is that the memory and processing costs are prohibitive for producing high ...
Tengfei Wang +10 more
semanticscholar +1 more source
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models [PDF]
Neural Information Processing Systems, 2023 We systematically study a wide variety of generative models spanning semantically-diverse image datasets to understand and improve the feature extractors and metrics used to evaluate them.
G. Stein +9 more
semanticscholar +1 more source
A generative model for inorganic materials design. [PDF]
NatureThe design of functional materials with desired properties is essential in driving technological advances in areas such as energy storage, catalysis and carbon capture1, 2–3.
Zeni C +25 more
europepmc +2 more sources
SMPLicit: Topology-aware Generative Model for Clothed People [PDF]
Computer Vision and Pattern Recognition, 2021 In this paper we introduce SMPLicit, a novel generative model to jointly represent body pose, shape and clothing geometry. In contrast to existing learning-based approaches that require training specific models for each type of garment, SMPLicit can ...
Enric Corona +4 more
semanticscholar +1 more source
DiM: Distilling Dataset into Generative Model [PDF]
ECCV Workshops, 2023 Dataset distillation reduces the network training cost by synthesizing small and informative datasets from large-scale ones. Despite the success of the recent dataset distillation algorithms, three drawbacks still limit their wider application: i).
Kai Wang +5 more
semanticscholar +1 more source
GIRAFFE HD: A High-Resolution 3D-aware Generative Model [PDF]
Computer Vision and Pattern Recognition, 2022 3D-aware generative models have shown that the introduction of 3D information can lead to more controllable image generation. In particular, the current state-of-the-art model GIRAFFE [38] can control each object's rotation, translation, scale, and scene
Yang Xue +3 more
semanticscholar +1 more source
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment [PDF]
Computer Vision and Pattern Recognition, 2022 Training a generative adversarial network (GAN) with limited data has been a challenging task. A feasible solution is to start with a GAN well-trained on a large scale source domain and adapt it to the target domain with a few samples, termed as few shot
Jiayu Xiao +4 more
semanticscholar +1 more source
Illuminating protein space with a programmable generative model
bioRxiv, 2022 Three billion years of evolution has produced a tremendous diversity of protein molecules^ 1 , but the full potential of proteins is likely to be much greater. Accessing this potential has been challenging for both computation and experiments because the
John Ingraham +10 more
semanticscholar +1 more source