In this paper, we present a novel diffusion model called that generates
...
Diffusion models have demonstrated excellent potential for generating di...
We present a neural rendering-based method called NeRO for reconstructin...
Synthesizing visual content that meets users' needs often requires flexi...
The recent advance of neural fields, such as neural radiance fields, has...
3D-aware image synthesis encompasses a variety of tasks, such as scene
g...
Diffusion models have recently become the de-facto approach for generati...
This paper presents a novel grid-based NeRF called F2-NeRF (Fast-Free-Ne...
Novel view synthesis from a single image requires inferring occluded reg...
Egocentric 3D human pose estimation with a single head-mounted fisheye c...
We present a novel method, called NeuralUDF, for reconstructing surfaces...
Photo-real digital human avatars are of enormous importance in graphics,...
This paper presents a Progressively-connected Light Field network (ProLi...
Reconstructing 3D indoor scenes from 2D images is an important task in m...
Understanding human intentions during interactions has been a long-lasti...
2D images are observations of the 3D physical world depicted with the
ge...
High-fidelity reconstruction of fluids from sparse multiview RGB videos
...
Dense human pose estimation is the problem of learning dense corresponde...
Egocentric 3D human pose estimation with a single fisheye camera has dra...
Photorealistic editing of outdoor scenes from photographs requires a pro...
We present EgoRenderer, a system for rendering full-body neural avatars ...
We propose StyleNeRF, a 3D-aware generative model for photo-realistic
hi...
We present a new neural representation, called Neural Ray (NeuRay), for ...
Detecting 3D landmarks on cone-beam computed tomography (CBCT) is crucia...
We introduce CurveFusion, the first approach for high quality scanning o...
We present a novel neural surface reconstruction method, called NeuS, fo...
We propose Neural Actor (NA), a new method for high-quality synthesis of...
Well-annotated medical images are costly and sometimes even impossible t...
We propose a deep videorealistic 3D human character model displaying hig...
Egocentric 3D human pose estimation using a single fisheye camera has be...
Differentiable rendering has received increasing interest for image-base...
We present a novel method for single image depth estimation using surfac...
Generative adversarial networks achieve great performance in photorealis...
Photo-realistic re-rendering of a human from a single image with explici...
We propose the first approach to automatically and jointly synthesize bo...
We present a new pose transfer method for synthesizing a human animation...
Motion coherence is an important clue for distinguishing true correspond...
We present a novel method for multi-view depth estimation from a single
...
Segmenting arbitrary 3D objects into constituent parts that are structur...
Photo-realistic free-viewpoint rendering of real-world scenes using clas...
Thin structures, such as wire-frame sculptures, fences, cables, power li...
Thin structures, such as wire-frame sculptures, fences, cables, power li...
We introduce MulayCap, a novel human performance capture method using a
...
We present a new learning-based method for multi-frame depth estimation ...
Learning structures of 3D shapes is a fundamental problem in the field o...
Synthesizing realistic videos of humans using neural networks has been a...
Synthesizing realistic videos of humans using neural networks has been a...
We propose a method for generating (near) video-realistic animations of ...