Dna-rendering: A diverse neural actor repository for high-fidelity human-centric rendering
Realistic human-centric rendering plays a key role in both computer vision and computer
graphics. Rapid progress has been made in the algorithm aspect over the years, yet existing …
graphics. Rapid progress has been made in the algorithm aspect over the years, yet existing …
Humannerf: Efficiently generated human radiance field from sparse inputs
Recent neural human representations can produce high-quality multi-view rendering but
require using dense multi-view inputs and costly training. They are hence largely limited to …
require using dense multi-view inputs and costly training. They are hence largely limited to …
Style and pose control for image synthesis of humans from a single monocular view
Photo-realistic re-rendering of a human from a single image with explicit control over body
pose, shape and appearance enables a wide range of applications, such as human …
pose, shape and appearance enables a wide range of applications, such as human …
Generalizable neural performer: Learning robust radiance fields for human novel view synthesis
This work targets at using a general deep learning framework to synthesize free-viewpoint
images of arbitrary human performers, only requiring a sparse number of camera views as …
images of arbitrary human performers, only requiring a sparse number of camera views as …
Geometry-guided progressive nerf for generalizable and efficient neural human rendering
In this work we develop a generalizable and efficient Neural Radiance Field (NeRF) pipeline
for high-fidelity free-viewpoint human body synthesis under settings with sparse camera …
for high-fidelity free-viewpoint human body synthesis under settings with sparse camera …
Multi-view neural human rendering
We present an end-to-end Neural Human Renderer (NHR) for dynamic human captures
under the multi-view setting. NHR adopts PointNet++ for feature extraction (FE) to enable …
under the multi-view setting. NHR adopts PointNet++ for feature extraction (FE) to enable …
Learning compositional radiance fields of dynamic human heads
Photorealistic rendering of dynamic humans is an important ability for telepresence systems,
virtual shopping, synthetic data generation, and more. Recently, neural rendering methods …
virtual shopping, synthetic data generation, and more. Recently, neural rendering methods …
SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering
Dynamic human rendering from video sequences has achieved remarkable progress by
formulating the rendering as a mapping from static poses to human images. However …
formulating the rendering as a mapping from static poses to human images. However …
Doublefield: Bridging the neural surface and radiance fields for high-fidelity human reconstruction and rendering
We introduce DoubleField, a novel framework combining the merits of both surface field and
radiance field for high-fidelity human reconstruction and rendering. Within DoubleField, the …
radiance field for high-fidelity human reconstruction and rendering. Within DoubleField, the …
Hosnerf: Dynamic human-object-scene neural radiance fields from a single video
We introduce HOSNeRF, a novel 360deg free-viewpoint rendering method that reconstructs
neural radiance fields for dynamic human-object-scene from a single monocular in-the-wild …
neural radiance fields for dynamic human-object-scene from a single monocular in-the-wild …