Animate anyone: Consistent and controllable image-to-video synthesis for character animation
L Hu - Proceedings of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Character Animation aims to generating character videos from still images through driving
signals. Currently diffusion models have become the mainstream in visual generation …
signals. Currently diffusion models have become the mainstream in visual generation …
Animatable gaussians: Learning pose-dependent gaussian maps for high-fidelity human avatar modeling
Modeling animatable human avatars from RGB videos is a long-standing and challenging
problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent …
problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent …
Humannorm: Learning normal diffusion model for high-quality and realistic 3d human generation
Recent text-to-3D methods employing diffusion models have made significant
advancements in 3D human generation. However these approaches face challenges due to …
advancements in 3D human generation. However these approaches face challenges due to …
Splattingavatar: Realistic real-time human avatars with mesh-embedded gaussian splatting
We present SplattingAvatar a hybrid 3D representation of photorealistic human avatars with
Gaussian Splatting embedded on a triangle mesh which renders over 300 FPS on a modern …
Gaussian Splatting embedded on a triangle mesh which renders over 300 FPS on a modern …
Sith: Single-view textured human reconstruction with image-conditioned diffusion
A long-standing goal of 3D human reconstruction is to create lifelike and fully detailed 3D
humans from single-view images. The main challenge lies in inferring unknown body …
humans from single-view images. The main challenge lies in inferring unknown body …
Have-fun: Human avatar reconstruction from few-shot unconstrained images
As for human avatar reconstruction contemporary techniques commonly necessitate the
acquisition of costly data and struggle to achieve satisfactory results from a small number of …
acquisition of costly data and struggle to achieve satisfactory results from a small number of …
Human image generation: A comprehensive survey
Image and video synthesis has become a blooming topic in computer vision and machine
learning communities along with the developments of deep generative models, due to its …
learning communities along with the developments of deep generative models, due to its …
2D/3D Image morphing technology from traditional to modern: A survey
J Lin, Y Gu, G Du, G Qu, X Chen, Y Zhang, S Gao… - Information …, 2024 - Elsevier
Image morphing technology is a crucial area in computer graphics and computer vision,
enabling various effects such as transformation, rotation, and deformation of 2D and 3D …
enabling various effects such as transformation, rotation, and deformation of 2D and 3D …
Dyn-e: Local appearance editing of dynamic neural radiance fields
Recently, the editing of neural radiance fields (NeRFs) has gained considerable attention,
but most prior works focus on static scenes while research on the appearance editing of …
but most prior works focus on static scenes while research on the appearance editing of …
Meshavatar: Learning high-quality triangular human avatars from multi-view videos
We present a novel pipeline for learning high-quality triangular human avatars from multi-
view videos. Recent methods for avatar learning are typically based on neural radiance …
view videos. Recent methods for avatar learning are typically based on neural radiance …