SIG Asia 2021,马普所的工作,我这里简单概括为运动人物的novel pose,novel view生成。 项目链接vcai.mpi-inf.mpg.de/projects/NeuralActor/ NeRF的火爆,Neural Novel View Synthesis又掀起了一波小热度。而在静止目标已经效果做得很好后,大家也开始关注运动目标。相比于静止物体,运动目标虽然也有多视角,但在不同...
《NeRF系列公开课》课件已更新,可在评论区获取!___主讲人:刘玲洁,刘玲洁博士即将入职宾夕法尼亚大学计算机信息科学系担任助理教授,领导宾大图形学实验室。刘玲洁博士毕业于香港大学,目前在马克
To address this, we propose Relightable Neural Actor , a new video-based method for learning a pose-driven neural human model that can be relighted, allows appearance editing, and models pose-dependent effects such as wrinkles and self-shadows. Importantly, for training, our method solely ...
Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse mediaThe output of physical systems, such as the scrambled pattern formed by shining the spot of a laser pointer through fog, is often easily accessible by direct ...
Actor-critic reinforcement learning?Recurrent neural networks?Non-Markovian dependencies?For solving a sequential decision-making problem in a non-Markovian domain, standard dynamic programming?(DP) requires a complete mathematical model; hence, a totally model-based approach. By contrast, this paper ...
The participants judged whether an actor's action in the first movie was correctly imitated by an imitator in the second movie, regarding the following four aspects: action goal, a means of manipulation, an effector used, and movement trajectory. Although identical sets of stimuli were presented,...
The algorithm is implemented as a separate actor-critic neural network (NN) structure for every participant in the game, where adaptation of both NNs is performed simultaneously and continuously. The technique of concurrent learning is utilized to obtain novel update laws for the critic NN weights...
Neural Logic Reinforcement Learning source: NLRL Framework 整个框架为:actor-critic, 并没有learning model, 而是learning action. Actor:αILP作为actor, 以atoms encoding的valuation vector作为输入. 输出是从result of valuation vector中转换得到的action probs. ...
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在本节中,我们将详细讲解Actor-Critic算法的数学模型。我们将从以下几个方面进行讨论: 状态值函数(Value Function) 动作值函数(Action-Value Function) 策略梯度(Policy Gradient) 3.3.1 状态值函数(Value Function) 状态值函数是一个从状态到数值的函数,它表示从某个状态开始,按照某个策略执行动作,并在后续的环境...